From 9cb667e08faf06e75d005bcfc33852212b9455d2 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Sun, 26 Apr 2026 21:36:59 -0700
Subject: [PATCH 01/16] Fixes for mypy and pylint

---
 mediapy/__init__.py | 12 +++++++-----
 pdoc_files/make.py  |  1 +
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index a1b505e..142ae53 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -765,11 +765,11 @@ def __exit__(self, *_: Any) -> None:
 # ** Image I/O.
 
 
-def read_image(
+def read_image(  # pyrefly: ignore[bad-function-definition]
     path_or_url: _Path,
     *,
     apply_exif_transpose: bool = True,
-    dtype: _DTypeLike = None,  # pyrefly: ignore[bad-function-definition]
+    dtype: _DTypeLike | None = None,
 ) -> _NDArray:
   """Returns an image read from a file path or URL.
 
@@ -840,7 +840,7 @@ def to_rgb(
   # vmax = np.amax(a, where=np.isfinite(a)) if vmax is None else vmax
   vmin = np.amin(np.where(np.isfinite(a), a, np.inf)) if vmin is None else vmin
   vmax = np.amax(np.where(np.isfinite(a), a, -np.inf)) if vmax is None else vmax
-  a = (a.astype('float') - vmin) / (vmax - vmin + np.finfo(float).eps)
+  a = (a.astype('float') - vmin) / (vmax - vmin + np.finfo(float).eps)  # pylint: disable=no-member
   if isinstance(cmap, str):
     if hasattr(matplotlib, 'colormaps'):
       rgb_from_scalar: Any = matplotlib.colormaps[cmap]  # Newer version.
@@ -872,8 +872,10 @@ def compress_image(
     return output.getvalue()
 
 
-def decompress_image(
-    data: bytes, dtype: _DTypeLike = None, apply_exif_transpose: bool = True  # pyrefly: ignore[bad-function-definition]
+def decompress_image(  # pyrefly: ignore[bad-function-definition]
+    data: bytes,
+    dtype: _DTypeLike | None = None,
+    apply_exif_transpose: bool = True,
 ) -> _NDArray:
   """Returns an image from a compressed data buffer.
 
diff --git a/pdoc_files/make.py b/pdoc_files/make.py
index 8a65ac4..b180e32 100644
--- a/pdoc_files/make.py
+++ b/pdoc_files/make.py
@@ -13,6 +13,7 @@
 # limitations under the License.
 
 """Create HTML documentation from the source code using `pdoc`."""
+
 # Note: Invoke this from the parent directory as "python3 pdoc_files/make.py".
 
 import pathlib

From 197d66d06e53921f408d4cca192e4fe37652171f Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 23 Jul 2026 10:56:50 -0700
Subject: [PATCH 02/16] mypy fix

---
 mediapy/__init__.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index 142ae53..e193444 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -845,7 +845,8 @@ def to_rgb(
     if hasattr(matplotlib, 'colormaps'):
       rgb_from_scalar: Any = matplotlib.colormaps[cmap]  # Newer version.
     else:
-      rgb_from_scalar = matplotlib.pyplot.cm.get_cmap(cmap)  # pylint: disable=no-member
+      # pylint: disable-next=no-member
+      rgb_from_scalar = matplotlib.pyplot.cm.get_cmap(cmap)  # type: ignore[attr-defined, unused-ignore]
   else:
     rgb_from_scalar = cmap
   a = typing.cast(_NDArray, rgb_from_scalar(a))
@@ -1245,7 +1246,7 @@ def _run_ffmpeg(
   env: Any = None  # pylint: disable=unused-variable
   ffmpeg_path = _get_ffmpeg_path()
 
-  # Sandbox max runtime, allowed input and ouput files are not supported in
+  # Sandbox max runtime, allowed input and output files are not supported in
   # open source.
   del allowed_input_files
   del allowed_output_files

From 1c5ff795a245cce7f4434e21c6178224bd24cb9e Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 23 Jul 2026 11:49:23 -0700
Subject: [PATCH 03/16] Update github action versions to suppress deprecation
 warning

---
 .github/workflows/pytest_and_autopublish.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/pytest_and_autopublish.yml b/.github/workflows/pytest_and_autopublish.yml
index 5e51d64..39309c0 100644
--- a/.github/workflows/pytest_and_autopublish.yml
+++ b/.github/workflows/pytest_and_autopublish.yml
@@ -22,14 +22,14 @@ jobs:
             numpy-version: 'numpy>=2.5.0'
 
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v7
 
     - run: sudo apt-get update
     - run: sudo apt-get install -y ffmpeg
 
     # Install deps
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@v7
       with:
         python-version: ${{ matrix.python-version }}
     - run: pip --version

From d7a93f9424957c17303d3786e29410639c9edf6c Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 23 Jul 2026 11:53:29 -0700
Subject: [PATCH 04/16] Update github action versions to suppress deprecation
 warning 2

---
 .github/workflows/docs.yml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index a4d88ed..6260669 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -17,8 +17,8 @@ jobs:
   build:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
+      - uses: actions/checkout@v7
+      - uses: actions/setup-python@v7
         with:
           python-version: '3.x'
 
@@ -46,4 +46,4 @@ jobs:
       url: ${{ steps.deployment.outputs.page_url }}
     steps:
       - id: deployment
-        uses: actions/deploy-pages@v4
+        uses: actions/deploy-pages@v5

From 7f01f8692ec5d609f384c9e505ffb0d5ea985b48 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Fri, 24 Jul 2026 18:18:17 -0700
Subject: [PATCH 05/16] Fix odd-sized video example; improve Mandelbrot demo

---
 mediapy_examples.ipynb | 480 +++++++++++++++++++----------------------
 mediapy_examples.py    |  21 +-
 2 files changed, 240 insertions(+), 261 deletions(-)

diff --git a/mediapy_examples.ipynb b/mediapy_examples.ipynb
index be5b972..8583c9a 100644
--- a/mediapy_examples.ipynb
+++ b/mediapy_examples.ipynb
@@ -1,26 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Copyright 2024 The mediapy Authors.\n",
-    "#\n",
-    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
-    "# you may not use this file except in compliance with the License.\n",
-    "# You may obtain a copy of the License at\n",
-    "#\n",
-    "#     http://www.apache.org/licenses/LICENSE-2.0\n",
-    "#\n",
-    "# Unless required by applicable law or agreed to in writing, software\n",
-    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
-    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
-    "# See the License for the specific language governing permissions and\n",
-    "# limitations under the License."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -46,14 +25,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:06.659186Z",
-     "iopub.status.busy": "2024-02-18T07:44:06.658892Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.172029Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.171454Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:06.659170Z"
+     "iopub.execute_input": "2026-07-25T01:10:35.480768Z",
+     "iopub.status.busy": "2026-07-25T01:10:35.480625Z",
+     "iopub.status.idle": "2026-07-25T01:10:36.937522Z",
+     "shell.execute_reply": "2026-07-25T01:10:36.936265Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:35.480753Z"
     }
    },
    "outputs": [],
@@ -64,14 +43,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.173218Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.172732Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.429062Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.428465Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.173202Z"
+     "iopub.execute_input": "2026-07-25T01:10:36.938420Z",
+     "iopub.status.busy": "2026-07-25T01:10:36.938275Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.358944Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.357816Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:36.938407Z"
     }
    },
    "outputs": [],
@@ -88,14 +67,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.430518Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.429826Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.433107Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.432591Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.430501Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.360148Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.359924Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.367118Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.365751Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.360134Z"
     }
    },
    "outputs": [],
@@ -114,14 +93,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.434218Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.433973Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.448597Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.447997Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.434205Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.367856Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.367733Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.390440Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.389369Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.367843Z"
     }
    },
    "outputs": [
@@ -147,14 +126,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.449475Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.449327Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.752609Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.752074Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.449463Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.391168Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.390997Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.767377Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.766332Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.391156Z"
     }
    },
    "outputs": [
@@ -182,14 +161,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.754380Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.754119Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.763400Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.762785Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.754367Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.768345Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.768213Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.777980Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.777012Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.768332Z"
     }
    },
    "outputs": [
@@ -202,7 +181,7 @@
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
        "      <div>darker noise</div><div><img width=\"100\" height=\"100\" style=\"border:1px solid black; image-rendering:pixelated; object-fit:cover;\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAAO0ElEQVR4nE2ZW5bsSo5czQyAk5Hn9tKsNP9JqPXqUldX3ToZdMdDH5HVEhe+yU1zvBzgf/1vLz+Kzdhab7u/df/215/29ff49R/xx3/EH/++/vhr/PHX9cff4tef/vq2teXNAcvxBH4v/O3iXy/+5bL/ddn/WPHfl//rin+9/H8u+72IC7gK62Bt+Bvxhr3D3v9F73/R8y98/sD5xXMzb2SwnO3cxCG2sIXDOZrDSXWyi1XKZrZydEZnZBBgBYIsYAOHSDKpghoGipRIB50AAQw+zwBDNEE5pDG1kQ7OAAM22bBmOR7xCEc/ZFtz1Ed9VKlMZilbp3lGD0TYwAwEWOQmNnDAhIoaCjBSRjmxABH9IZv/xBJBG2mMcLDxYQILEpto51tM/mj2aDbnYW/2UR1mKku75K3PizDWMFGgGtjgQ2zykEU1BJpgTi7qIl/EP/hDhAEaIAOKMWsTnJgBe9SwQgkNtutbTH7Ums15qx/1o9zMrXO0D61kbWphrGAHbjBATR7yDTzgR7AmQUnyD5OwOQ28P1ADDFbxagXN4QIwHFhP1ZTQQDfG+VtM/pzjY/2o36q36tHZsqMnjSmWpq3bcjzgggMa6ECbfBObTLJJkk4u4ha+iOKQE+ycmRk1HVy0NeOARhybqe5ONGYaXTOuP8UUUjiarXms31bfOt/Gx/j809vSsuyMx0QgBCetaUUdcIMPcMgmQBjn0rw4ySbhnBuTM93gQJCNxSBaNsWe6a4ZTM9MzXDG+Tdj6mOz1dvqMb4N34ZvzWO1LdNO2W5/t8eEYwlB+OBDxkMe4gDNIcfZF/uXiprg3JgHkzPVMyBGbKilGuthzxSqZxo94AwGbn911j8FS8222obH+m397fm2s21vj3Sv8AnHMixxkYv0oTXZZBHJKQ5ZobqVJIJ9Ew/nzBxMDmrYpSlNAUUkUZhiF7qJ/okN1/8JNFlCalJ9bI71Nj2ej+sdeoedUIZ12CxhGW7xohYVpIECOcSwhw2m85AIdX3CCXMwZ5CN0zypTNZRpnWqjqZUqWl2cYbTcP0l0EQLn59Iw/mYYwe2Ywd3MIO1OIu4pFu8qSUtySWJFEdsMU3HyNCQ9cEtTs6cmV3cySf1bNvb9/G9fY5nWqdlqltV7KHr3wKjaU1/tNWUdfqkd/rkmozOQK6ZBVzgTdzUTd2mJbnTXHT2Ui0eUq5ZrJBcFDFAATl8Gu/U9/bfT3w/i0/Ms/pEbu/0Ssu0LFXL9b9jRhjNCG3d6rZur/aqqI7uq/qqvnquxj28oRt60W6zZYowhXBpbmZLEpbKdW7ZRYUoogfZfBe/02OHngvfV7+veq7zLD6rj1d6pp9Utjn/bQGaEaAZm1GP1XjBcyKxcq7klbiTd/EqXa0bdsNu2XL3kC7hVqcEjasuGU0u3sZbNBDDHF4lT+eJfla97/N97+/b3jeehb36RB2vsiw5/7IGAgUIMMAGNvSmN6O4UtfRfexKXkd32p12tS3YooWZh/MybKu2puTiZSwRRhNCXCBHBdj4VNRZe1/Pc6/vl/9+6ful58KzsGNOdFqnOf49QIECbaihgQ45LPD5tl/gDdytu+w6vo6vtGgzmNEUhscmDaOhjdtcmpfNl6GMY+SYNQjWRHREXnFu37c9L3u/7Pul96X3xZ/YcqZ5/90HGtnQIKOM5rIwj/E1cUHX4B7ebVfFJV9wb7c0lgbW2+d4l2V7wtIsw+qyvqwvQ4gaBTnQTExf6It56Vzal55Lz2Xvy96XPWEnDD4wb/jApgUYygiXBSOIEC/zy3E5L/PL4mIEwjpUhrRpValgnV7lp+3AHtljtt3y0yFAqvElkFZYZ1b26l6TixnKsOO2w7fH8YERJpjXT9E1wAgH3CqggC1gDa/WVX4dXzsilvsyBWA9+qTrLlVZtp22A21oUw91oB5NSk/zpozeWAfXM9fuVRPTzjIrRbEK8+PdExgvGCDCACdMcMGFIJe0aGt8Taxc61zxvm0tmg8toW5WM5MHlsd26fz0i8xmFjqJB/qmblggiFVYB/HAE9YQQAMCPWihHFiY/mAR+khHuOBGd3M3Nw+L4AquqMvzsvelteDeshqewins5C5u6DTPb2azCl0zCezhN+0fY18TC8uwiFWMoh+qRGpMHSoKXr1gDQ3kDSMk2P87V/dwj4hYHstthS6fy/LWfSNizBM6zV3zrnkO3oX90wii3tM5zOYue8t/j/4x8TXr7vVDRofUYtvAy5yM9rIZTXIgfLAEfZgIMzdb5svXZevydXncZrfhtrp4XbQoejVPzvvM9+nvM++cJ3EwiR4UMvU38518wG/574mvXF+9rl4LHnSTZKA3A7baWwApchNJNh3/6Vs0unGZXea3+W1x2bpt3Wa3dLNu+jWIbtXB2bN3PRvfu94H75yDamBAgQ7qPditt+x74lfFV8ar4zV2QZcYPhHlq6xh+BwTFFRCBSecEN3kpjAt02W6TbfZy+yW3fJPI3MBC5fPUb0mnzrP7Kf3nif7qck3Ck2MoYUGSu32D/mDeCreZ/0qP6MvqgV4a413Oyc0EeM5nmMJa7gtk5lccme4lvMy3IaXzUvzUr80N3ETC1xDa0OvrmvyVeeZc/pUZnfO9EMhBQPOT/zAIhF/m8jyOjYlALL26NVFlKlW9Mpe2VHjPd7j9hUymcvcFMZluAy3+qV6KV/CzbmhC3OhfFqDaaGj+pr+qq7qyUEOGwTeFGQfIHhAAQUQv8fRsoLPLM3tNUjZ8ciouqqurqs7ZrzH16+gUWYKWTjDcFnfVi+dF/sFf0E3eA0W2rrQp2d6bLAar+IcYlNHVvhc/X7ToYAFfMEWFJCD9gavmT2dqo6EHcW2OdF5Td5TF3pNB9rjV9BIE3/U8l6Wt/pmvsgXdA+vwWoERjMzjSkAgyi+Ujpmj8dWHHi59RKuP3VBC7bgAXO4w6xtjibVzR5P8ojbsRfPYl7Im3Whg+3Xr4D4k9tdWNZLfX/8CfPC3DNXTQg+RLGbNRyw6WVKjx3r4f2ea3Mdj17WN3D/qesHKxwhBLGmoyd6POlHvs222xN2ls6lvJSXarF9fcWIY2zXhDrUl+piXch76uq6qtZM9GiEtixnr0G0ojxOcOP1+HnP/eh6PHJZvTg3eP/5wVqGS7iAGk5TqTjyo7V9bY/t8YSfsFyeS7WsPW5vsY10VmiCtXgu7Hv21fuqs+Yz3YFG3aG62Q1otMpWrUhxTz14fet6PPZS3ui7sUbxDzdcwg1kE+WWvtJw3I6v7fcT1xPXjtgRGZ7hFVZuKyjA0M4JdjAX95on+r3wjn6cJ5gGEIa+2I0S5hpy3JtXmidwmNvi7fbpgOuqWS2H63ujszl1W15x1rXXnOAO37G239vv7dfxdSzSoszLafbPbhljaEPZHJtteFt/G96GLaQAjs+0RpqLU8BAGsXgaqpUaXacO/qJqlXwhkhE9UHL8lrn6zqv2nfvC3vphJ2I4+vYfXSlViqKUd5QA5/gKkxikkjO+f9sc1IDoDUSLjGFEkeEJMkoh9k4xqv8lG/4hhLAdLznKBnn2vvrPL9yf/Vzz77mhNKVZiUreTEaqxHtJ9WaBJKTRGmyuqqru7t7utGDHgw4I0IcaUzjNmZjavNxwycj04J+QS/oDyDRRK+pPImz13le+fxLPr/yvOrcfVanT32qFTnggDOE74ctVE0WTk+yS9Wq8UIWK1Vl3kCDcNBMcqP7BGopF3Ipw7Cc4R1Gl0mrcaP/QAu1kNWHtSOfVz5fuX/l/sq8s1Z25FgOC0iMscUm/f0bbWhH+WT1ma7pQUFHlu5nPNXV08C4uMbcQ9FYrGXnwnOBt3xLW32Uh5PQuxf6hRLOhTOz2Tv6uXO/zv465+vkfWrt9j0K0ATNAD2opv/+E+MzPh1T2VXdnYOUjtuBH4vTldMFg5Fhdk3ZGqTq9n1aB33gh0pMogvZjWl/6sZxnMYmH2FH79Xnzn2ffO26n1kLFpSJxACfITLO+PefMzYTg+i5urOmC0gxw477M3EmDqKIkeQw58QI5VX5ZHf2zrEaFViDnumZSTHX2as3+Zht447Zq3JVrpNr93omAm4UhOGU+gz2TIz//vvABzGMxmlUc4pI06EfxeF+uI66OCOScgoasb1qTdb5zMc/Vq2GpgxpPK7t9TiesMd5Aic6I8tP+x5/jxmM4gwancCeCbSP//770EeruUbZn1uWsdzK4vg6fh3LrUrNkBz1kEXvyeo8VV2NbFaz2prRE11r0rBd+8rn7mfpWTqB9CmvsRxt0EEjSQ6mOAcTYAAGf5/hGZ2x01bj00RTZZ5r5brOOsfreKemAbXNoQ7PnqypXZ3VlY0aZVtxVd+dmlw4xn2d/arnxr7sLJZNWw+T2IRxpE9KmCIOOwj/YGGEsWzPnmmiTUUvWxU7r533OStPdGp6qCTMcpQbVV171ZOdOZ2tpBermlVROZOaE9x3nq/ZN3OxbOZnnnnUpvqMUUeT6uA4xwiDPxhDO2Yw+G5jjzWj9JTvWqfurLsy+mhmwC3CcqPIqulT/WQ/p/tqHq0zOOVZVTmd1idwLp5X5wsn2Aaw2WWVqAOIA2FsSp1q56ed8Y35YUIL3U9PNHbrtJ9eWVfmXbWqNN2QmKUyFlDtfWKeNe8zdYar6wJPr+zKQqYqo3Ph3HnuycURgFGVMgdCk4RmNGXtalOLI/r5YRphCtM12MPTOm2nPCuqV9U1ZdOfQcHDMjXQ3Z3e2+eJyRitmQ1fk7srGquUZVWrc01dXQuj4QyzG2WdLJLgz5S0PqsStuT5sx8awzSmMXMaZ5Rt2V4dVatrdRm6ME1ztdTg9EzVHP8Y6IPA8q7ojoI3vdwyrFbnNbVmCE2TrSmUIJIUoGmNq0stNekJEBCmgMYMZnLw2dZVW7V3x1RM2YwwyTI21ZweTdmkzXEcHzrkU47yGRt4y9qsXRXq6IqBBjWanupRgQSJH8FGow+WvD6RCPxI9RnX97BHPeq2aet2tKEJfYqp1JgZmxbKkEIaaHBD2bTN2ED92WC5OliBjo8EnyLQo4J+uIif5kHTGvL/AsGHwWu1tFo5AAAAAElFTkSuQmCC\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>as YCbCr</div><div><img width=\"100\" height=\"100\" style=\"border:1px solid black; image-rendering:pixelated; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>as YCbCr</div><div><img width=\"100\" height=\"100\" style=\"border:1px solid black; image-rendering:pixelated; object-fit:cover;\" 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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
        "      <div>as YUV</div><div><img width=\"100\" height=\"100\" style=\"border:1px solid black; image-rendering:pixelated; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
@@ -233,14 +212,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.764556Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.764087Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.770942Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.770342Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.764542Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.779385Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.779145Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.786952Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.785923Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.779367Z"
     }
    },
    "outputs": [
@@ -266,14 +245,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.771908Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.771765Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.784641Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.783964Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.771896Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.787549Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.787435Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.798076Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.796580Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.787536Z"
     }
    },
    "outputs": [
@@ -317,14 +296,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.785552Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.785342Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.795418Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.794824Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.785538Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.803460Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.803272Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.828692Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.827488Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.803442Z"
     }
    },
    "outputs": [
@@ -360,14 +339,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.796233Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.796088Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.799785Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.799251Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.796221Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.829390Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.829262Z",
+     "iopub.status.idle": "2026-07-25T01:10:37.839315Z",
+     "shell.execute_reply": "2026-07-25T01:10:37.838059Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.829376Z"
     }
    },
    "outputs": [],
@@ -385,22 +364,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.800988Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.800658Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.882996Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.882408Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.800969Z"
+     "iopub.execute_input": "2026-07-25T01:10:37.840677Z",
+     "iopub.status.busy": "2026-07-25T01:10:37.840479Z",
+     "iopub.status.idle": "2026-07-25T01:10:38.357638Z",
+     "shell.execute_reply": "2026-07-25T01:10:38.356613Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:37.840657Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
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+       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><video controls width=\"64\" height=\"64\" style=\"object-fit:cover;\" loop autoplay muted>\n",
+       "      <source src=\"data:video/mp4;base64,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\" type=\"video/mp4\"/>\n",
        "      This browser does not support the video tag.\n",
        "      </video></td></tr></table>"
       ],
@@ -414,27 +393,27 @@
    ],
    "source": [
     "# Display a video (a 3D or 4D array, or an iterable of images):\n",
-    "video1 = media.moving_circle((65, 65), num_images=10)\n",
+    "video1 = media.moving_circle((64, 64), num_images=10)\n",
     "media.show_video(video1, fps=2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.883874Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.883670Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.955739Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.955198Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.883860Z"
+     "iopub.execute_input": "2026-07-25T01:10:38.358653Z",
+     "iopub.status.busy": "2026-07-25T01:10:38.358511Z",
+     "iopub.status.idle": "2026-07-25T01:10:38.736927Z",
+     "shell.execute_reply": "2026-07-25T01:10:38.735703Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:38.358639Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"48\" height=\"48\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
+       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"48\" height=\"48\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -451,21 +430,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.956927Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.956522Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.966155Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.965523Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.956913Z"
+     "iopub.execute_input": "2026-07-25T01:10:38.737654Z",
+     "iopub.status.busy": "2026-07-25T01:10:38.737515Z",
+     "iopub.status.idle": "2026-07-25T01:10:38.751532Z",
+     "shell.execute_reply": "2026-07-25T01:10:38.750523Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:38.737640Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
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+       "<table class=\"show_images\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td></tr></table><table class=\"show_images\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAACFklEQVR4nO2Yv4sTQRTHv9/5sbu5kHCeSASLa6wOBLXU4hQbQRQRxL/AP8N/xMZatAyolShocY2F4YwHB4KNEO7UEMnmsjvPImdIYTaObNyA82G6tzw+zLx9bxhqDdj5K6omaixWkaDlQ9DyIWj5ELR8MFHVBr9lVXcraHkQtHwIWj4ELR9Cl/fhf9QiqUABARIUgatYS+t47EbjUU6ZOiK2xiGrSIsEpP991Dp94uSprQxDWkWrMg4/D97XIuswrkBLnCTx+sVzt89v3T/TujQbevzueqf3otFYbFayFsnMSUx94+ojAHk+ojKAiDitonsXnkedm93DdmIWnGbZWiBF7txqA3Au0zqeBjKXGpVsrm93e+2IKi/MU7oWCDQbmwBIPRtSVADyrB8DFlDFWqV3eQJ5NpwX1eDkVUbP+2KiVXrJEzC2jskfOYOIgLA6mWgVd7ClaA2+fqyttVx+pKa1BRACIB1+SggDkfkZAKiCh7G/WSKJxssn2wdf3ioduzwVcSLOuVSp5LC/s7v/sBnHxo2L85S+W0KlHN2rp5ev3H2z8atvkUl378FB/3UzgZKj4sLCUrq8OGqTM9t5dq2+cdYxhSUj823wQQySuhJZPBmXMxNdZmPtsvRHr4Po+Jl0raZhKVLVTDw2y2kISxhAAwYiOYrr/F9oAYBgKvLHQhNW9RoY7vIeBC0fgpYPQcuHoOXDT5Oep8gc5tpWAAAAAElFTkSuQmCC\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></td><td style=\"padding:1px;\"><img width=\"50\" height=\"50\" style=\"border:1px solid black; image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAABWElEQVR4nO3Wv07DMBDH8d+d7SRloQiCKkUVIxIDT4HEc8DAQyJ14hEQEp1hYKETpTRx7xiA8EeA5MkZ7qsssZePktgxOQeEv68iz6wPGGLGSslYKRkrJWOl5Ivcgl8b6tMyVkLGSslYKRkrJdvlUzLWvxEYIEDfbgfBYvhOY1TQx0h+lkOx0rZ2zXY42Lg1mEC5WYzwIm3t6ovd64p3+vGcLAJH7eqwfz6ZlzyOumIKmVkEiErF1VlzU/JYtPM06mezsoCSisrtKaR/Tu+sjLu8AAEq2v0wIe+3JUAAMwWFEPjrVE6WAqyr53i35aeiLdPnm8u6EomjtJf3R6fT25FrRNeUfSUCACSQj/I0ezg8mcwr1/QT2Xf5WFDoZHn1eFyVE/EdAsHnZwHoPDnRxTIuwIAAOggWgA2BQP2feigsANqfajAk1rfsLJ+SsVIyVkrGSslYKb0CwrBZ7vNakxYAAAAASUVORK5CYII=\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -482,14 +461,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.967010Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.966865Z",
-     "iopub.status.idle": "2024-02-18T07:44:08.976577Z",
-     "shell.execute_reply": "2024-02-18T07:44:08.975888Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.966997Z"
+     "iopub.execute_input": "2026-07-25T01:10:38.752493Z",
+     "iopub.status.busy": "2026-07-25T01:10:38.752365Z",
+     "iopub.status.idle": "2026-07-25T01:10:38.761712Z",
+     "shell.execute_reply": "2026-07-25T01:10:38.760687Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:38.752481Z"
     }
    },
    "outputs": [
@@ -498,25 +477,25 @@
       "text/html": [
        "<table class=\"show_images\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>0</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>0</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>1</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>1</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>2</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>2</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>3</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>3</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>4</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>4</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>5</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>5</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>6</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>6</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>7</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>7</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>8</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
+       "      <div>8</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAIAAACRXR/mAAAB5klEQVR4nO2Yv2sUQRSAvzezM3sXsooERDTYRBHRXtDCxiaIndhZCNpYWNkJguB/EPAfsEut/geCCFol/ggBG3shXszt7c48i9PzxFhMs3vFfEzz5jUfb5jH44m14P5/fD/ZwrGIZK0UslYKWSuFrJVC4fs2OJRFrVbWSiBrpZC1UshaKeQun0LWmkcQLOgsVuJc2IuWiCDjEMRChIhGSrDiA5PetARpQjx39FK0LU7UxsINv+rrUZhUhVFiD1oidjQJ1848urr6dP5+a/x8t33xSTdBQDvVMmLHbVg/+/jy6pOgjSBT06jNxcHt89z8sLc5EKOETrUspo5h7dh1QBAjxUw3UFuGN4bPXrX3l8V1Wy0oYdJ+m2rNpwQDVOZUAQ7ptMsbaMCIOSwpQNTxdJHTdbUcOLMEzHepWehlyXWvJWgpfP/x8fiRK0r86xVRYBQ/D6Do+Cei7bKTtzv31k7cNeKjTkQKQLU14nfrjXf1w6q0qk337VTLwr3ZWT+5cuv0yp3plYj/crDxfv9BVVrVAMjL7peUXmq0HFJVF6KtcRhX7rEtDpzgtKclpWpZukizf7CNAwXFewTR3/+gpwkiNrYQbwQDAsICTBC/0H96xB8WdQzMs3wCWSuFrJVC1koha6XwE9oOke8QDWhhAAAAAElFTkSuQmCC\"/></div></div></div></td><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
-       "      <div>9</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td></tr></table>"
+       "      <div>9</div><div><img width=\"50\" height=\"50\" style=\"image-rendering:auto; object-fit:cover;\" src=\"data:image/png;base64,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\"/></div></div></div></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -533,14 +512,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:08.977674Z",
-     "iopub.status.busy": "2024-02-18T07:44:08.977245Z",
-     "iopub.status.idle": "2024-02-18T07:44:09.353948Z",
-     "shell.execute_reply": "2024-02-18T07:44:09.353315Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:08.977661Z"
+     "iopub.execute_input": "2026-07-25T01:10:38.762596Z",
+     "iopub.status.busy": "2026-07-25T01:10:38.762484Z",
+     "iopub.status.idle": "2026-07-25T01:10:40.228960Z",
+     "shell.execute_reply": "2026-07-25T01:10:40.227718Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:38.762584Z"
     }
    },
    "outputs": [
@@ -555,7 +534,7 @@
     {
      "data": {
       "text/html": [
-       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"160\" height=\"90\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
+       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"160\" height=\"90\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -577,21 +556,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:09.355090Z",
-     "iopub.status.busy": "2024-02-18T07:44:09.354676Z",
-     "iopub.status.idle": "2024-02-18T07:44:09.494200Z",
-     "shell.execute_reply": "2024-02-18T07:44:09.493545Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:09.355076Z"
+     "iopub.execute_input": "2026-07-25T01:10:40.229659Z",
+     "iopub.status.busy": "2026-07-25T01:10:40.229539Z",
+     "iopub.status.idle": "2026-07-25T01:10:40.568431Z",
+     "shell.execute_reply": "2026-07-25T01:10:40.567292Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:40.229647Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"60\" height=\"60\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
+       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"60\" height=\"60\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -608,14 +587,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:09.495263Z",
-     "iopub.status.busy": "2024-02-18T07:44:09.494947Z",
-     "iopub.status.idle": "2024-02-18T07:44:09.498176Z",
-     "shell.execute_reply": "2024-02-18T07:44:09.497659Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:09.495247Z"
+     "iopub.execute_input": "2026-07-25T01:10:40.569357Z",
+     "iopub.status.busy": "2026-07-25T01:10:40.569227Z",
+     "iopub.status.idle": "2026-07-25T01:10:40.577234Z",
+     "shell.execute_reply": "2026-07-25T01:10:40.573940Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:40.569344Z"
     }
    },
    "outputs": [],
@@ -626,14 +605,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:09.498983Z",
-     "iopub.status.busy": "2024-02-18T07:44:09.498838Z",
-     "iopub.status.idle": "2024-02-18T07:44:09.960752Z",
-     "shell.execute_reply": "2024-02-18T07:44:09.960142Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:09.498971Z"
+     "iopub.execute_input": "2026-07-25T01:10:40.577863Z",
+     "iopub.status.busy": "2026-07-25T01:10:40.577740Z",
+     "iopub.status.idle": "2026-07-25T01:10:42.439003Z",
+     "shell.execute_reply": "2026-07-25T01:10:42.437957Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:40.577851Z"
     }
    },
    "outputs": [
@@ -648,7 +627,7 @@
      "data": {
       "text/html": [
        "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><video controls width=\"160\" height=\"90\" style=\"object-fit:cover;\" loop autoplay muted>\n",
-       "      <source 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\" 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+       "      <source 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\" type=\"video/mp4\"/>\n",
        "      This browser does not support the video tag.\n",
        "      </video></td></tr></table>"
       ],
@@ -676,14 +655,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:09.961626Z",
-     "iopub.status.busy": "2024-02-18T07:44:09.961430Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.253197Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.252577Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:09.961614Z"
+     "iopub.execute_input": "2026-07-25T01:10:42.439783Z",
+     "iopub.status.busy": "2026-07-25T01:10:42.439611Z",
+     "iopub.status.idle": "2026-07-25T01:10:43.544597Z",
+     "shell.execute_reply": "2026-07-25T01:10:43.543478Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:42.439769Z"
     }
    },
    "outputs": [
@@ -693,17 +672,17 @@
        "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><div style=\"display:flex; align-items:left;\">\n",
        "      <div style=\"display:flex; flex-direction:column; align-items:center;\">\n",
        "      <div>mirror loop</div><div><video controls width=\"160\" height=\"90\" style=\"object-fit:cover;\" loop autoplay muted>\n",
-       "      <source 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+       "      <source 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        "      <div>roll</div><div><video controls width=\"90\" height=\"90\" style=\"object-fit:cover;\" loop autoplay muted>\n",
-       "      <source 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+       "      <source 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        "      <div>fade</div><div><video controls width=\"90\" height=\"90\" style=\"object-fit:cover;\" loop autoplay muted>\n",
-       "      <source src=\"data:video/mp4;base64,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\" type=\"video/mp4\"/>\n",
+       "      <source src=\"data:video/mp4;base64,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\" type=\"video/mp4\"/>\n",
        "      This browser does not support the video tag.\n",
        "      </video></div></div></div></td></tr></table>"
       ],
@@ -718,7 +697,7 @@
    "source": [
     "# Show multiple videos side-by-side.\n",
     "s = 90\n",
-    "videos = {\n",
+    "videos: Any = {\n",
     "    'mirror loop': np.concatenate([video3, video3[::-1]], axis=0),\n",
     "    'roll': (np.roll(media.color_ramp((s, s)), i, axis=0) for i in range(s)),\n",
     "    'fade': (np.full((s, s), f) for f in np.linspace(0.0, 1.0, 50)),\n",
@@ -728,14 +707,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.254141Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.253994Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.323193Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.322397Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.254128Z"
+     "iopub.execute_input": "2026-07-25T01:10:43.545396Z",
+     "iopub.status.busy": "2026-07-25T01:10:43.545251Z",
+     "iopub.status.idle": "2026-07-25T01:10:43.882828Z",
+     "shell.execute_reply": "2026-07-25T01:10:43.881761Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:43.545383Z"
     },
     "lines_to_next_cell": 2
    },
@@ -761,14 +740,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.326222Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.325740Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.330018Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.329418Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.326208Z"
+     "iopub.execute_input": "2026-07-25T01:10:43.883583Z",
+     "iopub.status.busy": "2026-07-25T01:10:43.883457Z",
+     "iopub.status.idle": "2026-07-25T01:10:43.890864Z",
+     "shell.execute_reply": "2026-07-25T01:10:43.889700Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:43.883569Z"
     }
    },
    "outputs": [],
@@ -786,21 +765,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.330987Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.330839Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.406231Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.405601Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.330975Z"
+     "iopub.execute_input": "2026-07-25T01:10:43.891478Z",
+     "iopub.status.busy": "2026-07-25T01:10:43.891362Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.246795Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.245494Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:43.891465Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
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\"/></td></tr></table>"
+       "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"240\" height=\"160\" style=\"border:1px solid black; image-rendering:pixelated; object-fit:cover;\" 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\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -825,14 +804,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.407402Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.407060Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.492954Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.492424Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.407388Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.248329Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.248052Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.353539Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.352280Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.248310Z"
     }
    },
    "outputs": [
@@ -892,41 +871,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.494205Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.493710Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.497883Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.497371Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.494189Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.354510Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.354328Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.360111Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.358350Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.354493Z"
     }
    },
    "outputs": [],
    "source": [
-    "def mandelbrot(shape, center_xy=(-0.75, -0.5), radius=1.25, max_iter=200):\n",
+    "def mandelbrot(shape, center_xy=(-0.75, -0.5), radius=1.25, mag=4.0):\n",
     "  yx = np.moveaxis(np.indices(shape), 0, -1)\n",
     "  yx = (yx + 0.5 - np.array(shape) / 2) / max(shape) * 2  # in [-1, 1]^2\n",
     "  c = np.dot(yx * radius + center_xy[::-1], (1j, 1))\n",
-    "  count_iter = np.zeros(shape)\n",
     "  z = np.zeros_like(c)\n",
-    "  for it in range(max_iter):\n",
-    "    active = abs(z) < 4\n",
-    "    count_iter[active] = it\n",
-    "    z[active] = z[active] ** 2 + c[active]\n",
-    "  return np.where(active, 0, count_iter)"
+    "  time = np.zeros(shape)\n",
+    "\n",
+    "  for it in range(200):\n",
+    "    mag0 = abs(z)\n",
+    "    with np.errstate(all='ignore'):\n",
+    "      z = z**2 + c\n",
+    "    mag1 = abs(z)\n",
+    "    end = (mag0 < mag) & (mag1 >= mag)\n",
+    "    time[end] = it + (mag - mag0[end]) / (mag1[end] - mag0[end])\n",
+    "\n",
+    "  return time"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.498576Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.498446Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.553496Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.552901Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.498565Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.366179Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.365843Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.441666Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.440350Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.366163Z"
     },
     "lines_to_next_cell": 2
    },
@@ -934,7 +918,7 @@
     {
      "data": {
       "text/html": [
-       "<table class=\"show_images\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"300\" height=\"200\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
+       "<table class=\"show_images\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><img width=\"300\" height=\"200\" style=\"image-rendering:auto; object-fit:cover;\" 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\"/></td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -959,14 +943,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.554374Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.554207Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.557994Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.557450Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.554349Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.442808Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.442595Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.447552Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.446306Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.442784Z"
     }
    },
    "outputs": [],
@@ -981,14 +965,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.559257Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.558783Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.571508Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.570882Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.559237Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.453049Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.452885Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.461844Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.460133Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.453029Z"
     }
    },
    "outputs": [
@@ -1020,14 +1004,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.572321Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.572181Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.579823Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.579279Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.572308Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.468272Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.468013Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.477579Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.476125Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.468249Z"
     }
    },
    "outputs": [],
@@ -1064,14 +1048,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.580901Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.580446Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.748553Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.747934Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.580885Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.484190Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.483988Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.686579Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.685559Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.484172Z"
     },
     "lines_to_next_cell": 2
    },
@@ -1104,17 +1088,12 @@
     },
     {
      "data": {
-      "image/png": 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ZZRYIKJ7/bO+hPKyfhmyGBLmGbBbPd1ayLfV1QnQ4ocGB77M0ok872jSLZMKs\n9Sz0Mly0X4c47qwn00U1dkqwNXDr0rOqNeYaYOHm/axLz6qXY6/nz5/Pzz//zHHHHQfAv//9b/7w\nhz8wdepUnnrqKf71r38BUFhYyJVXXsmhQ4eYM2cOZ5xxRskx1q1bR0pKCjfccANbtmwhLCwMgPvu\nu48tW7bw97//nSeffLKk/V133UXfvn2rFeePP/5IUVERvXv3rrRdccLl5JNPLim7++67ef755xk7\ndixvvPEGACNGjOBvf/sbb775JuPGjSMkJKSkfWpqKmvXruWPf/wj8fFH/6Z43333sWnTJu666y6e\ne+65kvLbb7+d0047rVrXWZmvvvqK448/3qPM6XRy/fXX8+6773L77bfTr1+/ah933LhxbNmyhRUr\nVnDXXXeV6xnlz3tVrPTnlJWVBcCDDz5Y7nMC1/3973//S1CQ5/wHb7zxBjfeeCMvvfQS//jHP8qd\nY/r06UyfPp1zzz23XF1N7+XSpUtZuXIlrVu3Blz3Ljk5maeeeorIyEiWLl1Kt27dAMjLy+Pkk0/m\nzTff5OGHHyYhIQGAAwcOcNVVVxEZGcncuXPp3r17yfFXrVpFv379uPHGG1m2bFnJOSr7fACuu+46\ntm7dyocffsjIkSNLyg8ePEhKSgp33nknF110EYmJiVW+RwDJyck0bdqUuXPneq0XERERkYbF6bTs\nz873WCggvewqmxm5ZOX5b8hmdFhwSbKsZK6zUtuk2HDiIkNr3KssEAYmxzMwOV4LHgaYEmz1RPux\nX9Xp+c55rua/oG554nw/RuJp9OjRJck1AIfDwVNPPcW0adN48803SxJsX331FRs3buSee+7xSK4B\ntGzZktGjRzN27FhmzZrF8OHDyc/P58MPPyQ2NpYHHnjAo/1JJ53Etddey+uvv17lOLdt21Zyrspc\nc801Hsk1cCUo3nrrLT744ANeeuklwsLCCAsL4/rrr+fpp5/m888/5/LLLy9p/8orrwBUqcdOQUEB\n77//PtHR0eWGgfbu3Zs//elPJcP7fFU2IQSuz2v06NG8++67fPPNNzVKsB2Nv+5VaVX9nACP57O0\nP//5z/ztb3/jm2++8Zpgu/jiiytMHNX0Xv7rX/8qSa6BqxfZRRddxFtvvcWYMWNKkmvgum8jRoxg\n3Lhx/PbbbyUJtnfffZeDBw+WDDUtrUePHtx00008//zzrF69uly9NytWrOD777/niiuu8EiuFcf3\n8MMPc8kll/DJJ59w2223edRXdo+KJSUlsWbNGnJzcz16tIqIiIhI/ZJf6GR3VvlkWeneZ7sz88gv\n8s8qm8ZAfJOw8r3OyvQ+iwprvGmQzonRSqgFUON9sqRBKpssA+jYsSNt27Zly5YtHDx4kKZNm/Lj\njz8CrqFoZRNJeXl5bNy4EYDffvuN4cOHs3btWnJycujdu7fX4XuDBg2qVoJt3759ADRr1qza1xMb\nG0uvXr34/vvv+e233+jVqxcAt956K8888wyvvPJKSdJo7969fPrpp3Tr1o3BgwcfNa41a9aQnZ3N\n6aef7nUS+JSUFL8l2Pbt28dTTz3F9OnT2bRpE4cPH/ao37lzp1/O440/7lVp1fmcCgoKeOWVV5g0\naRKrV68mIyPDY560iq67sl6SNb2X3npQtmrVCsDryrbFybgdO3aUlBX/W1qxYoXXOQjXrVsHuP4t\nVSXBVny8jIwMr8fbs2dPyfHKqkpP0ri4OMD1ebdp0+ao7UVERETE/7JyC0pW1yxeabO499n6nTkc\nyHWSOeNrv50vNNjhSpSVSpaV7XWWEB1GSFDgh2zKsUsJNqlXyg4ZK5aUlMTWrVvJyMigadOmJQmu\nyZMnV3q8Q4cOAa5f9is7fkXlFYmIiACocML4ox03KSnJIy5wJRKHDRvGN998w8aNGzn++ON5++23\nycvLq3KPrKNdZ/F5fXXw4EH69OnD5s2b6du3L9deey1xcXEEBwdz8OBBXnjhBfLy8vxyLm/8ca9K\nq87nNGLECD799FM6duzIxRdfTFJSUknvtueff77C667o3vtyL70lUYODg49aV1BQUFJW/G/ptdde\n83qOYsX/lo6m+Hjfffcd3333XbWOV5XnMycnBzjyb1BERERE/MfptOw9nEe6x+qaue7VNnPcQznz\nOOTHIZsx4cG0jI0gMTacpJiwktU1XattRpAUG06zyJByC2CJ1DdKsNUTNR12uS49q0bDPb+9e3C9\n7Dqanp5Oly5dypUXr+ZYnDQo3n722WdcdNFFHm2L59Aq3VMtJiam5PgVnbc6iofXFScTKlLRccte\nT7Fbb72VGTNm8Nprr/HEE0/w+uuvEx4ezrXXXluluIqPd7TzluVwOMjPz/dad/DgwXJlr7/+Ops3\nb+ahhx4q10vpxx9/5IUXXqhSvL7w9V6VVtXPacmSJXz66aecddZZTJ8+3WP+N6fTyf/93/9VeI6K\nfiAI9L0svrYVK1bQs2dPvx3vhRde4M4776zWvlX5oWnfvn0EBweX9GQTERERkarJKyxid2Yeu4oX\nB8goNeeZe9jm7qxcCor8s1KAw0CLaM8hm4mxpXqducsjQ5WWkMZBT3ID1zkxmr4d4qq10EG/DnH1\nMrkG8P3335cb3rdp0ya2b99O+/btS1Yq7N+/PwA//PBDuQSbN127diUiIoKVK1eSlZVVbpjovHnz\nqhVncSJizZo1lbb7/vvvyyV8MjIy+PnnnwkPD/eYIwvgggsuoF27drz11lsMGTKEtWvXcu211x51\nKGqxrl27EhkZyc8//0xGRka5BF5qaqrX/Zo1a8bKlSspKCjwSBqBK6lU1oYNGwA85j8r9v3331cp\n1soULyBQVFRUYRtf71VpVf2ciq/7oosuKnefFi1aVNK7qjpq+14eTf/+/fnkk0/44Ycfqpxgq+zz\nKf1vs7oJtqM5fPgwO3fu5KSTTtJfMEVERETcrLVk5hYeWRygeJ6zMu/3H/b+B/WaCAt2eAzPLJnr\nLCac3zeuplm44aKzUwjWkE05huhpbwRGD+1EVRc4cRi4c2in2g3IBy+88AJbt24tee90Orn33ntL\nVlQsdvHFF3P88cfz3//+l+nTp3s91o8//kh2djYAoaGhjBgxgoyMDB599FGPditWrODdd9+tVpw9\nevSgRYsW/PTTT5W2mzhxIsuXL/coGzduHBkZGVx11VUlQwuLORwObr75Znbv3s2f//xnAG655ZYq\nxxUSEsKf/vQnsrKyyvWGWrJkCe+//77X/fr27UthYSFvvfWWR/nbb7/N/Pnzy7UvXjmybMJu+fLl\n/Pvf/65yvBVp3rw5cGQxCW98vVelVfVzqui6d+/ezV//+tcanbu27+XRXH/99SWLDyxatKhcvdPp\nLBdbZZ9P7969Of3005k6dSpvvvmm13P+8ssv7N69u9qxLlq0iKKiIs4888xq7ysiIiLSEBU5Lbsz\nc1mx/SDfrErj3R+38OSMNfzto5+56tWfGPJ0Kj0e+oaTHv6Wc56by7VvLuLvn6zk2e/W8cHCbcxe\ns5vVuzKrlVxrGhlC16RoUrq0YGSftowe2oknLjuRt67vw4y7TufnB89mzfhzSb33TD76y2m8MPJk\n7juvG9cP7MB5J7bk+KZBxIU7lFyTY456sDUCA5Pj+fdlJ3Lf1F9wVtKb12Hgict6MjA5vu6Cq6aB\nAwfSq1cvRowYQWxsLN988w0rVqzg1FNP5e9//3tJu5CQEKZOncqwYcM4//zzGTBgAL169SIyMpJN\nmzaxbNkytmzZwq5du4iMjATgiSeeYPbs2fzf//0fCxcuZMCAAezatYuPP/6Y4cOHM23aNByOqv0n\nYIzh0ksv5dVXX2XVqlX06NHDa7vzzjuPgQMHcuWVV9KyZUvmzZvHvHnzaN++PU888YTXfW688UYe\neeQRdu7cyYknnshpp51WrXv4+OOPM2vWLJ5//nmWLFnCoEGD2LVrFx999BHDhw/n888/L7fPHXfc\nwVtvvcWtt97KrFmzaNu2LStWrGDBggVccMEFfPnllx7tr732Wp566inuuusu5syZQ6dOnVi/fj1f\nfvkll112GR999FG1Yi5r6NChPPXUU9x0001cccUVNGnShKZNm3L77bd7tPP1XhUr/Tk1b96cH3/8\nkR9//LHc59SnTx8GDhzI1KlTGTBgAIMGDSI9PZ2vv/6aLl26lCwwUB21fS+Ppnnz5kyZMoVLL72U\n/v37M3ToUHr06IHD4WDbtm38+OOP7Nu3z2O+waN9Ph988AFDhgzhhhtuYMKECfTr14+mTZuyY8cO\nVq5cya+//sqPP/5YMtS6qr799lvAe28/ERERkYYmt6DoSK8z97b8kM08iir7Ja8aghyGhOgwj+GZ\nSV6GbIaHBPnlfCLHGiXYGokRfdrRplkkE2atZ6GX4aL9OsRx59BO9Tq5BvDcc8/x6aef8tprr7Fl\nyxaaN2/O6NGjeeSRRwgPD/do27NnT1asWMGzzz7Ll19+yVtvvYXD4SAxMZGTTjqJ8ePHEx9/5HoT\nExNZsGAB999/P9OnT2fhwoV06dKFl156iaioKKZNm1YyV1tV3Hbbbbz66qu8++67PPnkk17b3H33\n3Vx66aU8//zzfPTRRzRp0oRRo0bx+OOPV5hcSExMLEn41WTC/vj4eObPn8/999/PF198wZIlS+jS\npQsvv/wy7du395pg6969OzNnzizZJzg4mNNPP50ff/yRqVOnlkuwtWrVih9++IGxY8cyb948vvnm\nG7p27cpLL73EWWed5XNSaNiwYTzzzDO89tprPPfcc+Tn53PccceVS7D5eq+Klf6c1q5dS1RUlNfP\nKSgoiM8//5wHHniA6dOnM2HCBFq3bs2NN97IAw88UKVVNsuq7XtZFUOHDmXlypU8/fTTfPPNN/zw\nww+EhobSqlUrhgwZUi6hdbTPp02bNixdupQXX3yRTz75hPfff5+ioiKSkpLo3r07d9xxByeeeGK1\nYnQ6nbz33nucdNJJNU6kioiIiNQFay0ZOQXlhmgWr7SZ5k6iHcguOPrBqigiJOjIMM1SQzaLV9pM\nig0nvkkYQVUd+iQi1Was9U82/FhljFl6yimnnLJ06dJK2/32228A5ebcqg3r0rOYv2Evh3ILaRIe\nzMDk+Ho159qaNWvo1q0bN998M6+88goAo0aN4p133mHz5s0lQ+ZqytsiB0fzz3/+k8cff5wZM2Yw\nbNiwKu83bNgwVqxYwebNm/22qqHT6SQ5OZn09HR27dpVraTf0aSmpnLmmWd6nVC/IfL1Xo0bN46H\nH36YOXPmkJKSAtTs+ZHa98UXX3DRRRcxceJErr766irtU5ffd0srHlJb/EyJVJeeIfGFnh/xlZ6h\nyhUWOdl7KJ9dGTklvc92eVkwILfA6bdzxkWFliTKinuatYwNd6+66UqexYQH15s5avUMia+Kn6Ex\nY8awbNmyZdbaUwMbUdWoB1sj1Dkxul4l1Mpat24d4OrlUtd+//33csP4fvnlFyZMmEBcXBxnnHFG\ntY739NNPc/LJJ/PSSy8xZswYv8Q4ZcoUNm/ezC233OLX5FpjpHt1bLDW8tBDD9G7d2/+9Kc/BToc\nERERaaRy8ouO9DrLzCEtI4+0jBz3ggGur/dk5VU6LU91BDsMiTHhJMaEuXucRZAUG+ZOpkWQFBNO\nQkyYhmyKNBBKsEmdWblyJe+//z7vv/8+DoeDSy+9tM5j6N27N8nJyZxwwglERUWxfv16vvrqK5xO\nJ//73//KDUM9mhNPPJE333yzpNeTL5544gn279/Pq6++SlRUFGPHjvX5mI2V7tWxJS0tjYsuuohL\nLrmk3vxlVkRERBoOay0HswtKepjtKh6yWar3WVpmLhk5/huyGRUaRGKsl15n7uRZYmwY8VFhODRk\nU6TRUIJN6syyZct48cUX6dq1K//73/844YQT6jyGv/zlL0ybNo0PP/yQrKwsmjZtyrBhw7jnnntq\n3IX52muv9Uts9913HyEhIXTv3p2nnnqK4447zi/HbYx0r44tLVu2bBRDmkUaAmstb731VskiPkVF\nRXTp0oXrr7+ev/71rwQFHelFsWXLFjp06FDhsUaMGMGkSZPqImwROYYVFDnZk5V3ZHhmqQUDirfp\nmbnkFfpvyGZ8k1DPhQLKzHuWFBtOdHiI384nIg2DEmxSZ0aNGsWoUaO81r399tu8/fbbtR7DQw89\nxEMPPVTr56mJupgPMSUlpU7OU9v8dQ3jxo1T4kZEpJTrrruOiRMnkpCQwIgRI4iKimLmzJmMHj2a\nuXPnMnny5HI9SU866SQuueSScscKxB/SRKRxOZxXeKSnWZmFAoqTaXsO5eGvH29DggwJ0UfmN2vp\nTpaVnv8sISaMsGAN2RSR8pRgExERERGmTZvGxIkT6dChA4sWLSpZibugoIArr7ySTz75hHfeeafc\nH8t69eqlP1aISLVYa9l/ON9jUYDSq20Wb7NyC/12zuiw4HJDNsv2PouLDNWQTRGpMSXYRERERISp\nU6cCrhW7ipNrACEhIYwfP55p06bx4osvVtgbXUQEIL/Qye6sUnOdlUqcFZftzswjv8g/QzaNgfgm\nYSTFHOlpVrbXWVJsOE3C9KuviNQufZcREZFGpzEMhRapa2lpaQB07NixXF1x2bJlyzh48CBNmzYt\nqfv999955ZVX2LdvH82bN+e0006jZ8+edRKziNStQ3mFrlU1M/LYlZHj2fssM5e0jDz2Hsrz2/lC\ngxwkxobRMiaCxNhwkmLCSHKvrpkU6/o6ITqMkCCH384pIlJTSrDVEWMM1lqcTicOh/4DEBGpTcUJ\nNq06KlJ1xb3WNm/eXK5u06ZNJV+vWbOG/v37l7z/7rvv+O677zzap6Sk8M4779CuXbtailZE/Mnp\ntOw7nE9aRi7LdxdyINey+Js1pGXkuXud5ZCemcehPP8N2YwJD/boaZYUE+4xhLNlbATNIkP0f7mI\nNBhKsNWRsLAwcnNzOXz4MNHR0YEOR0SkUTt8+DDg+t4rIlVzwQUX8OGHH/Lss88ycuRI4uLiACgs\nLPRYIOjAgQMAREZG8q9//YtLLrmkpIfbypUrGTduHHPmzGHo0KH8/PPPREVF1f3FiEiJvMIidmfm\nkVa8OICXVTZ3Z+VSUFSm9/fqjTU6nzHQokmYx/BMj7nO3NvIUP0qKiKNi76r1ZHo6Ghyc3NLhl9E\nRUVhjNFfZERE/MRai7WWw4cPl3yv1R80RKpu5MiRvPfee3z99dd0796diy66iMjISGbOnMnGjRvp\n1KkT69evJyjItXpeQkICjzzyiMcxBg8ezLfffsugQYNYuHAhr7/+OqNHjw7E5Yg0etZasvIKvS4O\nULzqZnpmLvsO5/vtnGHBjnK9zpLK9D5r0SSMYA3ZFJFjkBJsdSQuLo7Dhw+TnZ3Njh07Ah1Oo1ZU\nVARQ8guASHXo+Wk8IiMjS3rgiMjRORwOPv/8c1544QUmTpzIxIkTCQkJYcCAAbzzzjvcfvvtrF+/\nnoSEhEqPExwczI033sjChQuZO3euEmwiNVDktOw7VKrXWQW9z7Lzi/x2ztiIEFrGhhNSmE2zcMPJ\nXTp49j6LCaephmyKiFRICbY64nA4aNu2Lfv37ycrK4u8vDxNwl1LsrOzAfVckZrR89OwGWMICwsj\nOjqauLg4zXkpUk3BwcGMGTOGMWPGeJTn5OTw888/ExERQY8ePY56nBYtWgBHhmuLyBG5BUWuxQG8\nDNUs7n2WnpVHkdM/vys4DCRElxmmWdzrrNRKmxGhrj8upqamApCS0tkv5xcROVYowVaHHA4H8fHx\nJZMIS+0o/qGgb9++gQ1EGiQ9PyIi5U2cOJHc3Fyuu+46QkJCjtr+p59+AryvSCrSWFlrycwpZFdm\nDmmle525k2fFXx/ILvDbOSNCgtxDNsNoGRvhmvOseKVNdxItvkmohmyKiNSBBpdgM8Y8CfQGOgPx\nQA6wFZgG/Mdau69U2/ZA+aWwjvjIWjuy1oIVERERaUAyMzOJiYnxKFu8eDFjx46lSZMmPPjggyXl\nCxcu5OSTTyY0NNSj/ezZs3nuuecAuPrqq2s/aJE6UOS07MnKc/c0y3H3NstzfZ2ZS3pmHrsycsgt\ncPrtnM0iQ1yJspgwd7IsgqRYd/LMPWQzJiJYQzZFROqJBpdgA+4GlgHfAbuBKKA/MA642RjT31q7\nvcw+K3Al4Mr6tfbCFBEREWlYzj77bCIiIjjhhBOIjo5m1apVTJ8+nbCwMKZOnerRI+0f//gHq1at\nIiUlhTZt2gCuVURnz54NwPjx4xkwYEBArkOkOnLyi0qGaJbrdeYesrk7Kxc/jdgk2GFIiA4rWRSg\n9DDNpJhwWsZGkBATRniI5oMVEWlIGmKCLcZam1u20BjzGHA/cB9wW5nqn6214+ogNhEREZEG64or\nrmDSpEm899575OTk0KpVK2688UbGjh1L+/btPdpec801fPrppyxevJivv/6agoICEhMTufLKK7n9\n9ts5/fTTA3MRIm7WWg5mF3jMb+ZtoYCMHP8N2YwMDfKc68zLtnmTMIIc6nUmItLYNLgEm7fkmtvH\nuBJsneowHBEREZFG49577+Xee++tUtsbbriBG264oZYjEvGusMjJ7pIhm569z1xDNl1leYX+G7LZ\nPCr0yOIAseG0dG+TinugxYYTHaYhmyIix6oGl2CrxIXu7Uovda2MMX8BmgP7gB+ttd7aiYiIiIhI\nAGXnF3r0NCs9ZLM4obb3UJ7fhmyGBJkjq2wW9zYrs9pmQkwYYcEasikiIhUz1vrpf6Y6Zoy5B2gC\nxOJa9GAQruTaWdbaPe427al4kYNU4Dpr7bYqnm9pBVVdO3XqFPnqq69WPXipVVlZWQBER0cHOBJp\niPT8iK/0DImv9AyJL+rz82OtJasADuQ6OZBrXa88W+prJ/tzLTmF/jtneBDEhRuahRuahjlKvm4W\nbmgWZmgW7iA6FBzqdVaiPj9D0jDoGRJfFT9DY8aMYf369custacGOKQqacg92O4BEku9nwGMKk6u\nuWUD43EtcLDJXdYT14IIZwKzjDG9rLWHaz1aEREREZFGqtBpOZhXNmnmLJdEK/TT3/YNEB3qSpTF\nuZNlTUu+dpQk0SKClTgTEZG60WATbNbaJABjTCIwAHgCWG6MucBau8zdZjfwYJld5xpjzgHmAf2A\nG4EXqnA+rxlTY8zS6OjoU1JSUmp6KeJnqampAOgzkZrQ8yO+0jMkvtIzJL6ojefnUF5hyTxnriGa\nOe5tHmmZOaRl5LHvcB7+GhgTGuQgMTbMNddZTOmVNiNIig0jMSachOhwQoMd/jmheND3IPGVniHx\nVfEz1NB6QTbYBFsxa2068KkxZhmwDngXOOEo+xQaY17HlWAbTBUSbCIiIiIijYnTadl3ON9zcYCM\nUnOeuec7O5TnvzGb0eHBHitqFi8OULosLipUCwWIiEiD0+ATbMWstVuNMauBXsaYeGvt3qPsUjyU\nNKqWQxMRERERqVN5hUXszvRcZTOtVNIsLSOX3Vm5FBT5p9uZMdCiSdiRRQJij/Q+Syq12mZUWKP5\n9UNERMRDY/sfrpV7W1SFtv3d202VthIRERERqSestWTlFZb0NCvpdebebvg9h/25TrJmzPDbOUOD\nHSXDNJNKDdksvcpmi+gwQoI0ZFNERI5dDSrBZozpChy01qaVKXfgWswgAVhgrT3gLu8HLLfW5pdp\nPwS42/32vVoPXERERETkKIqcln2HSvU6q2CbnV+VvyVXTWxEiMfwzMTYUr3O3Mm0ppEhGrIpIiJy\nFA0qwQacCzxljJkLbAT24VpJ9AygI5AG3FSq/ZNAD2NMKrDDXdYTGOL++l/W2gV1ELeIiIiIHMNy\nC1xDNne5FwgonvesZJuRy+6sPAqd/hmy6TCQEF08NDOMlrERHgsGFCfUIkKD/HI+ERGRY11DS7DN\nBF4FBgInAU2Bw7gWN5gITLDW7i/VfiJwKdAHOA8IAdKBj4H/WGt/qLPIRURERKTRsdaSmVNIWmYu\nuzJyXIsDlKyumUtaZh5pGTkcyC7w2znDQxwevc6SYiNIinHNf/b7htU0CzdceHYKwRqyKSIiUmca\nVILNWvsr8NdqtH8DeKP2IhIRERGRxqrIadmTVXqhgBzSMvPcvc5ySM/MIy0jl5wC/w3ZbBYZcmRx\ngFILBRT3OmsZE0FMRHCFQzZT964FUHJNRESkjjWoBJuIiIiIiD/kFhSRlnFkmGa51TYzctlzKI8i\nPw3ZDHIYEqPDSlbTTPKyTYwJJzxEQzZFREQaIiXYRERERKRK1qVnMX/DXg7lFtIkPJiByfF0TowO\ndFgerLUczC5wJclKJc3KznmWkeO/IZuRoUFeFwoovepm8yZhBDm0UICIiEhjpQSbiIiIiFRq/oa9\nvDBrPYs27y9X17dDHKOHdmJgcnytx1FY5GTPobySRQFKr65Z0hMtI5e8Qqffztk8KvTIogDFvc1K\nv48NJzqs4iGbIiIicmxQgk1EREREKvTR4m3cN/UXKhopuWjzfq55YyFPXNaTK/u0rfF5svMLPYdo\neul9tvdQXoVxVFeww3isplky15m791lSTDgJMWGEBWvIpoiIiBydEmwiIiIi4tX8DXsrTa4Vc1oY\nO3UlrZtFlOvJZq1l/+F80jJLDdMs0+tsV0YuWbmFfos7KjSoVI+zCJJiw9wrbR7pfdY8KhSHhmyK\niIiInyjBJiIiIiJevTBrfZV7jDkt3D/1F87pkUhaZp57xc1c0jPzyPfjkM34JqHlFghw9T5zJdIS\nY8KJDg/x2/lEREREqkIJNhEREREpZ116ltc51yqzdX82r/2wuUbnCw1ykBAT5rE4gMe8Z7HhJESH\nExrsqNHxRURERGqTEmwiIiIiUs78DXv9dqzo8GCPHmdJsaXmPHO/j4vUkE0RERFpuJRgExEREREP\nTqdl9e+ZNdp3UHI8l57cumTBgKSYcKLC9COniIiING76aUdEREREANiTlceUpTv4aPE2tuzLrtEx\nhnZL4PJT2/g5MhEREZH6TQk2ERERkWOY02mZt2EvHy7axner0yms6qoGFSi7iqiIiIjIsUAJNhER\nEZFjUHpmLpOXbGfS4u3sOJBTrj46LJjI0CDSs/KqfMx+HeLonBjtzzBFREREGgQl2ERERESOEUVO\ny9x1e/hg0TZmr9lNkZfeaqce14yr+rbj/BNbsmzbAa55YyFV6dTmMHDn0E61ELWIiIhI/acEm4iI\niEgj9/vBHD5esp2PF2/n94zccvWxESFcdkprrurbzqMH2sDkeP592YncN/WXSpNsDgNPXNZTw0NF\nRETkmKUEm4iIiEgjVFjkZM7aPXy4aBupa3d7TZD17RDHH/u249wTkggPCfJ6nBF92tGmWSQTZq1n\n4eb95er7dYjjzqGdlFwTERGRY5oSbCIiIiKNyPb92Xy0eDuTl24nPbP8/GlxUaFcfkprRvRpR3JC\nkyodc2ByPAOT41mXnsX8DXs5lFtIk/BgBibHa841EREREZRgExEREWnwCoqczFydzoeLt/PD+j1Y\nL73VBiY3Z2SfdpzTI5GwYO+91Y6mc2K0EmoiIiIiXijBJiIiItJAbdl7mEmLtzNl6Q72HirfWy2+\nSSh/6N2WEb3b0j4+KgARioiIiBwblGATERERaUDyCov4dlU6Hy7axoKN+8rVGwOnd2rBVX3aMrRb\nIqHBjgBEKSIiInJsUYJNREREpAHYuOcQkxZt45NlO9l/OL9cfUJ0GCP6tOXK3m1pGxcZgAhFRERE\njl1KsImIiIjUU7kFRcz4NY0PFm1jkZcVPB0GUrokcFXfdpzZpQXBQeqtJiIiIhIISrCJiIiI1DM7\ns5w8/MUqpi7bSUZOQbn6VrHhXOnurdaqaUQAIhQRERGR0pRgExEREakHcvKL+HLl77zyUw4bDjqB\nLR71QQ7D0K6u3mqDO7cgyGECEqeIiIiIlKcEm4iIiEgArf49k0mLt/Hp8p1k5RaWq2/TLIKr+rbj\nilPbkBgTHoAIRURERORolGATERERqWOH8wr5YsXvfLh4Oyu2HyxXH2Rg2AlJjOzTjkHJ8TjUW01E\nRESkXlOCTURERKSO/LIjgw8WbePzn3dyOL+oXH375pH0bV7AwNYhXDzs1ABEKCIiIiI1oQSbiIiI\nSC3Kyi3gs59/Z9Libfy6M7NcfWiQg2EnJHFV37b079CcuXO/D0CUIiIiIuILJdhERERE/Mxay8/b\nD/Lhom18sWIXOQXle6sd3yKKq/q247JT2hAXFRqAKEVERETEX5RgExEREfGTjJwCpi3fyYeLtrEm\nLatcfWiwgwtObMnIvu3o074ZxmhuNREREZHGQAk2ERERER9Ya1my9QAfLtrGVyt3kVfoLNemS2I0\nI/u25dKTW9M0Ur3VRERERBobJdhEREREauDA4Xw+WbaDSYu3s2H3oXL14SEOLuzZipF923FKu6bq\nrSYiIiLSiCnBJiIiIlJF1lp+2rSfSYu38fUvaeQXle+t1r1lDFf1a8fFvVoREx4SgChFREREpK4p\nwSYiIiJyFHsP5fHJ0h18tHg7m/YeLlcfFRrERb1acVXfdpzYOla91URERESOMUqwiYiIiHjhdFoW\nbNzHh4u28e3qNAqKbLk2PdvEclXfdlx4UiuahOnHKhEREZFjlX4SFBERESlld1Yuk5e4eqtt259d\nrj46LJiLT27FyD7tOKF1bAAiFBEREZH6Rgk2EREROeYVOS1z1+9h0qJtzPptN4XO8r3VTmnXlJF9\n23FBz5ZEhupHKBERERE5Qj8dioiIyDErLSOXj5ds56PF29l5MKdcfUx4MJed0oar+rajS1J0ACIU\nERERkYZACTYRERE5phQWOUldu4dJi7cxe81uvHRWo2/7OEb2bcvwE1sSHhJU90GKiIiISIOiBJuI\niIgcE3YcyObjxdv5eMkO0jJzy9U3iwzh8lPaMLJvW5IT1FtNRERERKpOCTYRERFptAqKnMz6bTeT\nFm/j+3V7sF56q53WsTlX9WvHsB6JhAWrt5qIiIiIVJ8SbCIiItLobNuXzaTF25i8dAd7svLK1cc3\nCeXyU9swsk87OsRHBSBCEREREWlMHIEOQERE5FhhreXNN9+kf//+REdHExkZycknn8yECRMoKiry\nus+CBQsYPnw4cXFxREZG0rNnT55//vkK2x/L8gudfLVyF1e/vpDBT83hpdSN5ZJrp3eK56U/ncKC\nsUO577xuSq6JiIiIiF80uB5sxpgngd5AZyAeyAG2AtOA/1hr9x1l/zeAP7vfdrLWbqi9aEVERI64\n7rrrmDhxIgkJCYwYMYKoqChmzpzJ6NGjmTt3LpMnT8YYU9L+s88+4/LLLyc8PJwRI0YQFxfHF198\nwd133838+fOZPHlyAK+m/ti05xAfLd7OlKU72Hc4v1x9QnQYf+jdhhG929GueWQAIhQRERGRxq7B\nJdiAu4FlwHfAbiAK6A+MA242xvS31m73tqMx5kJcybVDQJM6iVZERASYNm0aEydOpEOHDixatIj4\n+HgACgoKuPLKK/nkk0945513GDVqFACZmZncdNNNBAUFkZqaSu/evQEYP348Q4YMYcqUKUyaNImR\nI0cG6pICKregiG9WpfHhom38tGl/uXpjIKVzC67q244hXRMIDlKnfRERERGpPQ0xwRZjrS239Jcx\n5jHgfuA+4DYv9S2A14CPgCTgjFqOU0REpMTUqVMBGDNmTElyDSAkJITx48czbdo0XnzxxZIE25Qp\nU9izZw/XXnttSXINIDw8nEcffZShQ4fy8ssvH3MJtg27s/hw0XY+WbaDg9kF5epbxoZzZe+2XNmn\nLa2bRgQgQhERERE5FjW4BJu35Jrbx7gSbJ0qqH/Vvf0r8Im/4xIREalMWloaAB07dixXV1y2bNky\nDh48SNOmTZk9ezYA5557brn2gwcPJjIykgULFpCXl0dYWFgtRh54uQVFfLVyF5MWb2PxlgPl6oMc\nhjO7JPDHfm05o3MCQQ7j5SgiIiIiIrWnwSXYKnGhe7uybIUxZhRwCXCptXZf6fltRERE6kJxr7XN\nmzeXq9u0aVPJ12vWrKF///6sXbsWgM6dO5drHxwcTIcOHVi1ahWbNm2iW7dutRR1YK1Jy+TDhdv4\ndPlOMnMLy9W3bhrByD5t+UPvtiTFhgcgQhERERERlwabYDPG3INrHrVYXIseDMKVXHuiTLvjgBeA\n96y103w439IKqrpmZWWRmppa00OLn2VlZQHoM5Ea0fMjvqroGSrupfbYY4/Rpk0bYmJiACgqKuLh\nhx8uaff999+Tm5tb0uNtzZo1Jcf0Zvbs2aSnp/vzEgIqr9CyMK2Q1O2FbMpwlqsPMnByQhBntAmm\nR7zBYXayZvlO1gQg1tqi70PiCz0/4is9Q+IrPUPiq+JnqLKfgeujBptgA+4BEku9nwGMstbuKS4w\nxjiAd3AtanBn3YYnIiJyxJAhQ5g5cyYLFy5k1KhRDBgwgPDwcJYuXcrvv/9OmzZt2LFjBw5H9Sbj\nbyy9srdmFpG6vZAffy8kt6h8fUKkYXCbYAa1DqZpmBYsEBEREZH6pcEm2Ky1SQDGmERgAK6ea8uN\nMRdYa5e5m92NazGD86215Sdtqd75TvVWboxZGh0dfUpKSoovhxc/Kv5LiT4TqQk9P+Kryp6hefPm\n8cILLzBx4kRmzZpFSEgIAwYMYMqUKdx+++3s2LGDs88+m169epGUlMSOHTvo2rUrp57q9b8gAM48\n88wGO0T0UF4hn//8Ox8u2sYvOw+Xqw8JMgzrkcRVfdtxWsfmOI6RudX0fUh8oedHfKVnSHylZ0h8\nVfwMRUdHBzaQamqwCbZi1tp04FNjzDJgHfAucIIxphPwGPCWtXZ6IGMUEREB19xpY8aMYcyYMR7l\nOTk5/Pzzz0RERNCjRw8AunTpwpIlS1i3bl25BFthYSGbN28mODjY66IJ9Zm1lpU7Mvhw0TY+X/E7\n2fnlu6t1jI/iqr7tuOyU1jRv0rgXcBARERGRxqHBJ9iKWWu3GmNWA72MMfFADyAMuN4Yc30Fu613\nD6251Jf52URERHwxceJEcnNzue666wgJCQFcQ0rff/99ZsyYwVVXXeXRfu7cuWRnZzN48OAGs4Jo\nZm4Bny3fyQeLtvPbrsxy9aHBDoaf4Oqt1rdDXKMZ+ioiIiIix4ZGk2Bza+XeFgFbgDcqaHc+kARM\nBjLdbUVERGpVZmZmyeIGxRYvXszYsWNp0qQJDz74YEn5FVdcwT/+8Q8mTZrEHXfcQe/evQHIzc3l\ngQceAODWW2+tu+BrwFrLsm0H+HDRdr5c+Tu5BeUXLeiU0KSkt1rTyNAARCkiIiIi4rsGlWAzxnQF\nDlpr08qUO4DxQAKwwD3f2gHgxgqOk4orwXa/tXZDrQYtIiLidvbZZxMREcEJJ5xAdHQ0q1atYvr0\n6YSFhTF16lSP4Z4xMTG89tprXHHFFaSkpDBy5Eji4uL4/PPPWbt2LVdccQUjRowI4NVU7GB2PlOX\n7WTS4m2sSz9Urj48xMH5J7bij/3ackq7ZuqtJiIiIiINXoNKsAHnAk8ZY+YCG4F9uFYSPQPoCKQB\nNwUuPBERkYpdccUVTJo0iffee4+cnBxatWrFjTfeyNixY2nfvn259pdccgnff/89jz32GJ988gm5\nubkkJyfz7LPPcuedd9arxJS1lkWb9zNp8Xa++mUX+YXle6t1TYrmj/3acXGv1sRGhAQgShERERGR\n2tHQEmwzgVeBgcBJQFPgMK7FDSYCE6y1+wMWnYiISCXuvfde7r333mrtM3DgQKZPr79r9ew/nM8n\nS3fw4eJtbNpTfiXQyNAgLjqpFSP7tuOkNrH1KikoIiIiIuIvDSrBZq39FfirH46T4ns0IiIixyan\n0/LTpn18sGgb365KJ7+ofG+1E1vHclXfdlx4Ukuiw9VbTUREREQatwaVYBMREZHA2ZOVx5SlO5i0\neBtb92WXq28SFszFvVpxVd92nNA6NgARioiIiIgEhhJsIiIiUiGn0/LDhr1MWrSN71anU+i05dr0\natuUP/Ztx/k9WxIVph8tREREROTYo5+CRUREpJz0zFwmL9nOpMXb2XEgp1x9dHgwl53cmpF929Gt\nZUwAIhQRERERqT+UYBMREREAipyW79ft5sNF25m9ZjdFXnqr9WnfjJF92jH8xJZEhAYFIEoRERER\nkfpHCTYREZFj3O8Hc/ho8XYmL9nO7xm55eqbRoZw+SltGNmnLZ0SowMQoYiIiIhI/aYEm4iIyDGo\nsMjJ7DW7mbR4O6lrd+Olsxr9O8ZxVd92DOuRRHiIequJiIiIiFRECTYREZFjyPb92a7eaku3k56Z\nV66+eVQoV5zahhF92tKxRZMARCgiIiIi0vAowSYiItLIFRQ5mbk6nQ8WbWPehr1YL73VBiXHc1Xf\ndpzdPZHQYEfdBykiIiIi0oApwSYiItJIbdl7mEmLtzNl6Xb2HsovV98iOow/uHurHdc8KgARioiI\niIg0DkqwiYiINCJ5hUV8syqdSYu2sWDjvnL1xsAZnVswsk87hnZLICRIvdVERERERHylBJuIiEgj\nsHHPISYt2saUpTs4kF1Qrj4pJpwr+7Tlyt5taNMsMgARioiIiIg0XkqwiYiI1BPr0rOYv2Evh3IL\naRIezMDkeDonRlfYPregiK9/3cWHi7azaPP+cvUOA0O6JjCyTztSurQgWL3VRERERERqhRJsIiIi\nATZ/w15emLXea5Ksb4c4Rg/txMDk+JKytWlZfLhoG58u30lGTvneaq2bRjCiT1v+0LsNLWMjajV2\nERERERFRgk1ERCSgPlq8jfum/oLTy8qeAIs27+eaNxbyyMUnEBbs4MNF21i27WC5dkEOw1ndEriq\nbztO79SCIIep3cBFRERERKSEEmwiIiIBMn/D3kqTa8WcFh6Y9qvXunZxka7eaqe2ISEmvBaiFBER\nERGRo1GCTUREJEBemLX+qMk1b0KCDOd0T+Kqvu0YcHxzHOqtJiIiIiISUEqwiYiIBMC69Cyvc64d\nzY2DOnBLyvHENwmrhahERERERKQmtJyYiIhIAMzfsLdG+7VuFqHkmoiIiIhIPaMEm4iISAAcyi2s\n0/1ERERERKT2KMEmIiISALmFRTXar0m4ZncQEREREalv9FO6iIhIHcrKLeDF2Rt4c96mGu0/MDne\nzxGJiIiIiIivlGATERGpA06nZcqyHfzfjLXsPZRXo2P06xBH58RoP0cmIiIiIiK+UoJNRESkli3b\ndoCHP1/Fih0ZHuVdEpuwbvchrD36MRwG7hzaqZYiFBERERERX/g9wWaM6Qq0A+KBHGA38Iu1NtPf\n5xIREanP0jNzefLrNUxdvtOjPCkmnPvP78aFPVvy8ZLt3Df1F5yVJNkcBp64rKeGh4qIiIiI1FN+\nSbAZY4YANwBn4UqsleU0xiwHpgBvWmv3+uO8IiIi9VGB0/JS6gb+O3sDh/OPLGYQGuzgL4M7cmvK\n8USGuv4LHtGnHW2aRTJh1noWbt5f7lj9OsRx59BOSq6JiIiIiNRjPiXYjDGXAY8BnQED7AQ+A9KA\n/UAE0BzoCvQCegMPG2PeBR601qb7cn4REZH6xFrL8t2FfLgmn93Zaz3qzu2RxD/P70bbuMhy+w1M\njmdgcjzr0rOYv2Evh3ILaRIezMDkeM25JiIiIiLSANQ4wWaMmQsMAn4D7gMmWWu3VdI+FDgTuA64\nGhhpjLnGWvt5TWMQERGpLzbsPsQjX65m7jrPBQw6JzbhoQt7VKkHWufEaCXUREREREQaIF96sEUD\nl1Q1QWatzQe+Ab4xxiQA9wNdfDi/iIhIwGXmFvDCzPW8s2ALhaUmUosJD2bMOV34U792BAc5Ahih\niIiIiIjUthon2Ky1J/uw727grpruLyIiEmhFTsvkJdt56pu17DucX1JugJS2wTwz6kziokIDF6CI\niIiIiNQZv68iKiIi0tgt2bKfcV+s4tedngtk9+0QxwUts2kXE6TkmoiIiIjIMUQJNhERkSpKy8jl\nia9/Y9rPv3uUt4oN5/7zu3H+iS35/vvvAxSdiIiIiIgEis8JNmOMAU4HWgDLrbWb3OW9gH8DfQEH\nMAf4h7V2va/nFBERqUu5BUW8MW8z/52zgez8opLysGAHt5xxPLeccTwRoUEBjFBERERERALJpwSb\nMSYC+BpXgg3AaYy5A0gFvse1EEKxS4ABxphe1to0X84rIiJSF6y1fLs6nce++o1t+7M96s4/sSX3\nDe9Km2aRAYpORERERETqC197sN0FDAa2A4uBPsD/AZ8D+cBNwEKgmbvtpcC9wBgfzysiIlKr1qdn\n8fAXq5m3Ya9HedekaB66sAenHd88QJGJiIiIiEh942uC7QpgF3CitTbTGBMLrAKuAq621n5Y3NAY\nM99ddy5KsImISD2VkV3AczPXMfGnrRQ5bUl508gQxpzdmav6tiM4yBHACEVEREREpL7xNcHWCfjA\nWpsJYK3NMMZ8iavn2szSDa21TmPMbGCUj+cUERHxuyKn5aPF23n627XsP5xfUu4wcHX/4/jb2Z1p\nGqmVQUVEREREpDxfE2xNgLLzqaUDWGv3eGm/Gwj38ZwiIiJ+tWjzfh7+YhWrfs/0KD+tY3Meuqg7\nXZNiAhSZiIiIiIg0BD6vIgo4j/JeRESkXvr9YA7//noNX6z43aO8ddMIHji/G+eekIRrsWwRERER\nEZGK+SPBJiIi0qDkFhTx6txNvJy6kZyCopLy8BAHt56RzF/O6Eh4SFAAIxQRERERkYbEHwm2S4wx\n7Uu97wVgjHnTS9uT/XA+ERGRGrHW8s2qNB796jd2HMjxqLugZ0vuG96N1k0jAhSdiIiIiIg0VP5I\nsPVyv8oaVUF7W0G5iIhIrVmTlskjX6xmwcZ9HuXdWsYw7sLu9OvYPECRiYiIiIhIQ+drgu16v0RR\nDcaYJ4HeQGcgHsgBtgLTgP9Ya/eVatsWuA84FTgOaAbsAzYCbwLvWWsL6jJ+ERGpWwez83nuu3VM\n/GkrzlJ/4mkWGcI9w7owsk87ghyaZ01ERERERGrOpwSbtfYdfwVSDXcDy4DvcK1KGgX0B8YBNxtj\n+ltrt7vbHg/8CViIKwG3H2gOnIcrwXatMeZsa21hXV6AiIjUviKn5YNF23j227UcyD7yt5Qgh+Ga\n/sdx91mdiY0MCWCEIiIiIiLSWDTERQ5irLW5ZQuNMY8B9+PqsXabu3gB0Mxa6yzTNgT4FkgBLgM+\nrs2ARUSkbv20aR/jPl/FmrQsj/KByc158IIedEmKDlBkIiIiIiLSGDW4BJu35Jrbx7gSbJ1Ktc2v\n4BgFxphpuBJsnby1ERGRhmfHgWz+PX0NX/2yy6O8TbMIHji/O8N6JGKMhoOKiIiIiIh/1TjBZoyZ\nXcNdrbV2aE3PW4kL3duVR2tojAkChle1vYiI1G85+UW8MncjL6duJK/wSKfliJAg/nrm8dx4ekfC\nQ4ICGKGIiIiIiDRmxtqaLeppjHFWUGUBb90Disuttdbn33KMMfcATYBYXIseDMKVLDvLWrunTNt4\n4Hb3+VsAZwPJwAfA1bYKN8EYs7SCqq6dOnWKfPXVV2t6KeJnWVmuIWHR0RoCJtWn56dhsdayOL2I\nj9bksy/X81t5/5ZBXNkllLhwR53GpGdIfKVnSHyh50d8pWdIfKVnSHxV/AyNGTOG9evXL7PWnhrg\nkKqkxj3YrLUev7EYY0JxDdM8ARgPpAJpQBJwJvBP4Ffgypqes4x7gMRS72cAo8om19zigYdKhw88\nDdxfleSaiIjUP9uznLy3Oo+1Bzz/3nNcjIM/dQulczP1WBMRERERkbrhzznY/oWrJ9kJ1tqDpcq3\nAm8bYz4HfnG3e9DXk1lrkwCMMYnAAOAJYLkx5gJr7bIybde4mpogoDVwKfAIMMgYc761dn8Vzuc1\nY2qMWRodHX1KSkqKT9cj/pOamgqAPhOpCT0/9d+Bw/k8891aPli4DWepP5HERYVy77AuXNm7LUGO\nwM2zpmdIfKVnSHyh50d8pWdIfKVnSHxV/Aw1tF6Q/kyw/Qn4pExyrYS1dr8xZgpwNX5IsJU6bjrw\nqTFmGbAOeBdXLzpvbYuAbcALxph04ENcibbb/RWPiIjUjsIiJx8s2sYz364jI6egpDzYYbj2tPaM\nPqsTsREhAYxQRERERESOVf5MsLUCvK7aWUoB0NKP5yxhrd1qjFkN9DLGxFtr9x5ll6/d25TaiEdE\nRPxnwca9PPz5atamZ3mUn94pnocu7E5yQsP665aIiIiIiDQu/kyw7QAuNsb801pbLtFmjAkDLgZ2\n+vGcZbVyb4uq0La1e1tYS7GIiIiPtu/P5vHpv/H1r2ke5e3iInng/G6c3T0RYwI3HFRERERERAT8\nm2B7B3gYmG2MuR+Yb60tcs97Ngh4DOiI52ID1WKM6QoctNamlSl34FpYIQFYYK094C7vB/xirc0u\n074J8IL77Vc1jUdERGpHTn4RL6du4JW5m8grPLKIQWRoEH89M5kbBnUgPESLGIiIiIiISP3gzwTb\nE8CpwEXAHMBpjNkPxAEOwACfu9vV1LnAU8aYucBGYB+ulUTPwJW8SwNuKtX+PiDFGPM9rrnXsoG2\nwHlAU2AB8G8f4hERET+y1vLFyl38e/pv7MrI9ai79OTW/OPcriTFhgcoOhEREREREe/8lmCz1hYA\nlxhj/ghcD5yMK7mWASwD3rLWfujjaWYCrwIDgZNwJckO41rcYCIwocyKoK+56/vgmmstEjgALAU+\nBt601mqIqIhIPbDq9wwe/nw1i7Z4Lux8YutYxl3Ug1OPaxagyERERERERCrnzx5sAFhrPwA+8Pdx\n3cf+FfhrNdp/hYaAiojUa/sP5/P0t2uZtGgbTnukPL5JKH8f1pUrTm2Dw6F51kREREREpP7ye4JN\nRESkKgqKnLz301ae+24dmblHOhMHOwzXD2zPHUM7ERMeEsAIRUREREREqqbGCTZjTIS1NseXk/vj\nGCIi0vDMW7+Xh79YxfrdhzzKz+jcgn9d0J3khCYBikxERERERKT6fOnBttkY82/gf9bavOrsaIw5\nCXgEWIJr9U8RETkGbNuXzaNfrebb1eke5e2bR/KvC7ozpGsCxmg4qIiIiIiINCy+JNi+BZ4FHjLG\nfIRr0YCfKuqRZozpCAwDrgX6AtuBp3w4v4iINBCH8wp5OXUjr/6wifxCZ0l5VGgQdwztxPUD2xMW\nHBTACEVERERERGquxgk2a+21xpgJwOPAze5XkTHmN2AXrtU6w4HmQBcgHjBAOvBP4Lnq9nwTEZGG\nxVrL5yt+59/T15CWmetRd/kpbfjHuV1IiAkPUHQiIiIiIiL+4dMiB9baJcA5xphOwA3AUKAXcGKZ\npnuAqcAnwCfW2gJfzisiIvXfrzszGPf5KpZsPeBRflLbpoy7sDsnt2sWoMhERERERET8yy+riFpr\n1wNjAYwxkUBrXD3XcoDd1tpd/jiPiIjUf3sP5fH0N2v5aMl2rD1SHt8kjLHndeWyk1vjcGieNRER\nERERaTz8kmArzVqbDax3v0RE5BhRUOTknQVbeGHWerJyC0vKQ4IMfx7YgduHJBMdHhLACEVERERE\nRGqH3xNsIiJy7Jm7bg8Pf7GKjXsOe5QP6ZrAA+d3o2OLJgGKTEREREREpPYpwSYiIjW2dd9hxn/5\nGzN/S/co7xgfxb8u7M6ZXRICFJmIiIiIiEjdUYJNRESq7XBeIf+Zs4E3fthMfpGzpLxJWDCjh3bi\nugHtCQ12BDBCERERERGRuqMEm4iIVJnTaZn2806e+HoNu7PyPOr+cGob7j23CwnR4QGKTkRERERE\nJDCUYBMRkSpZsf0g475YxfJtBz3KT27XlHEX9uCktk0DEpeIiIiIiEigKcEmIiKV2pOVx1PfrGHy\n0h1Ye6Q8ITqMsed15ZJerXE4TOACFBERERERCTAl2ERExKv8QifvLNjChFnrycorLCkPDXJww+kd\n+OuZyTQJ038jIiIiIiIidfqbkTHmbOBRa22/ujyviIhUz5y1uxn/5Wo27TnsUX5Wt0QeOL8b7eOj\nAhSZiIiIiIhI/eO3BJsxJg4otNZmeqk7DXgcGOyv84mIiP9t3nuY8V+uZvaa3R7lx7eI4sELe3BG\n5xYBikxERERERKT+8jnBZoy5HPg/oL37/S/AX6y1C40xCcBLwKWAAX4GHvT1nCIi4l9ZuQX8Z/YG\n3py/mYKiIxOtRYcFM/qsTlw3oD0hQY4ARigiIiIiIlJ/+ZRgM8acDnyMK3lWrCfwtTEmBfgCaAus\nAh6y1k715XwiIuJfTqdl6vKdPDljDXuy8krKjYERvdtyz7AuxDcJC2CEIiIiIiIi9Z+vPdjuwpVc\nuw94w112C/AIMBtoAtwO/M9a6/TxXCIi4kfLtx1g3BerWbH9oEf5qcc1Y9yFPTixTWxgAhMRERER\nEWlgfE2w9QdmWWufLFX2qDHmTCAFuNla+4bXPUVEJCB2Z+by5Iy1fLJsh0d5YkwY9w/vxkUntcIY\nU8HeIiIiIiIiUpavCbYWwFIv5UtwJdg+8fH4IiLiJ3mFRbw1fwsvzlrP4fyikvLQIAc3De7AbSnJ\nRIXV6eLSIiIiIiIijYKvv0kFA9leyrMBrLUHfTy+iIj4wew16TzyxWq27PP8ln1O90QeOL877ZpH\nBigyERERERGRhk9dFUREGrGNew4x/svVpK7d41HeKaEJD13Yg0Gd4gMUmYiIiIiISOPhjwTbKPeK\noaW1BzDGzPbS3lprh/rhvCIilXr77be5/vrrK23jcDgoKnINl9yyZQtnnnlmhW1HjBjBpEmT/Bpj\nbcnMLeDFWet5a/4WCp22pDw6PJi7z+rMNacdR0iQI4ARioiIiIiINB7+SLC1d7+8SfFSZr2UiYj4\nXa9evXjooYe81v3www/Mnj2b8847r1zd8ccfz9VXX12u/IQTTvB7jP7mdFqmLN3B/32zhr2H8kvK\njYGRfdpxzzmdad4kLIARioiIiIiIND6+Jtgq7uohIhJgvXr1olevXl7rTjvtNABuvvnmcnXJycmM\nGzeuFiOrHUu3HuDhL1axckeGR3mf9s146MIenNA6NkCRiYiIiIiING4+Jdistd/7KxARkbry66+/\n8tNPP9G6dWvOP//8QIfjs/TMXJ74eg2fLt/pUd4yNpz7hnfjwp4tMcYEKDoREREREZHGT4sciMgx\n55VXXgHghhtuICgoqFz9vn37eOWVV9i3bx/NmzfntNNOo2fPnnUd5lHlFRbxxrzN/Gf2BrLzi0rK\nQ4Md3DK4I7ekHE9kqL7Ni4iIiIiI1Db95iUix5ScnBzee+89HA4HN954o9c2S5YsYcmSJR5lKSkp\nvPPOO7Rr164uwqyUtZaZv+3m0a9Ws3VftkfdeSckcf/wbrSNiwxQdCIiIiIiIscenxJsxpi5NdjN\nWmvP8OW8IiI19fHHH3Pw4EHOP/982rZt61EXGRnJNddcw6BBg7jyyisBWLlyJePGjWPOnDkMHTqU\nn3/+maioqECEDsCG3Vk8/MVqfli/16O8S2I0D13YnQHJ8QGKTERERERE5Njlaw+2QTXYR6uIikjA\nvPrqqwD85S9/KVeXkJDAn//8ZwCaNm0KwODBg/n2228ZNGgQCxcu5PXXX2f06NF1Fm+xjJwCXpi5\nnnd/3EKh88i30diIEP52dmf+1K8dwUGOOo9LREREREREfE+wdahiu97Av4FkoOgobUVEasXq1atZ\nsGABbdq0Yfjw4VXeLzg4mBtvvJGFCxcyd+7cOk2wFTktHy/ZztPfrGXf4fyScoeBP/Zrx9/O7kJc\nVGidxSMiIiIiIiLl+bqK6NbK6o0xbYHHgasABzAduNeXc4qI1NTRFjeoTIsWLQA4fPiw3+OqyJIt\n+xn3xSp+3ZnpUd6vQxwPXdiD7q1i6iwWERERERERqVitLHJgjIkG/gncCYQDy4F7rLVzauN8IiJH\nk5uby8SJE3E4HNxwww3V3v+nn34CoGPHjv4OrZxdGTk88fUaPvv5d4/yVrHh3H9+N84/sSXGmFqP\nQ0RERERERKrGrwk2Y0wQcCvwIBAPbAcesNZO9Od5RESqa/LkyRw4cIALLrig3OIGxRYuXEhBQQEh\nISEe5bNnz+a5554D4Oqrr661GHMLinj9h038d85GcgqOjKYPC3ZwyxnHc8sZxxMRWr2edyIiIiIi\nIlL7/JZgM8ZcCjyBa561LOB+4DlrbZ6/ziEiUlPFixvcfPPNFbb5xz/+wc8//0yvXr04+eSTAdcq\norNnzwZg/PjxDBgwwO+xWWv5ZlU6j01fzfb9OR5155/YkvuGd6VNs0i/n1dERERERET8w+cEmzGm\nH/A0MADXAgYvAQ9ba/f6emwREX/47bffmDdv3lEXN7jmmmvIy8tjzZo1LFmyhIKCAhITE7nyyiu5\n/fbbOf300/0e27r0LB7+YhXzN+zzKO+aFM1DF/bgtOOb+/2cIiIiIiIi4l8+JdiMMZOAP7jffgb8\n3Vq7weeoRET8qFu3blhrj9ruhhtu4PjjjwcgJSWlVmPKyC7guZnrmPjTVoqcR2JrGhnCmHO6cFWf\ntgQHOWo1BhEREREREfEPX3uwXQlYYANwCHiwChNvW2vtdT6eV0SkQSpyWiYt3sbT36zlQHZBSbnD\nwDX9j+PuszvTNDI0gBGKiIiIiIhIdfljDjYDdHK/qsICSrCJyDFn0eb9jPt8Fat3ZXqUn9axOQ9d\n1J2uSTEBikxERERERER84WuC7Uy/RFENxpgngd5AZ1wrleYAW4FpwH+stftKte0EXAYMw5UATAQO\nAD8Bz1tr59Rp8CJyTPr9YA6PT/+NL1fu8ihv3TSCB87vxrknJFGF3r8iIiIiIiJST/mUYLPWfu+v\nQKrhbmAZ8B2wG4gC+gPjgJuNMf2ttdvdbccDI4DVwHRgP9AFuAi4yBgz2lo7oW7DF5FjRW5BEa/O\n3cRLqRvILXCWlIeHOLgtJZmbB3ckPCQogBGKiIiIiIiIP/hjiGhdi7HW5pYtNMY8BtwP3Afc5i6e\nATxprV1epu0ZuBJ0TxljJltrPbuViIj4wFrLjF/TePSr39h5MMej7sKTWnHfeV1p1TQiQNGJiIiI\niIiIv9Vqgs0YcxEwBNc8bXOttZ/4ekxvyTW3j3El2DqVavt2Bcf43hiTCpwNDAB8jktEBGBNWiYP\nf76aHzft8yjv3jKGcRf1oG+HuABFJiIiIiIiIrXFpwSbMeZC4F7gX2WHixpj3gKuxZVcA7jdGDPN\nWnu5L+esxIXu7coqti9evq+wFmIRkWPMwex8nv1uHe/9tBWnPVLeLDKEe4d1ZUSftgQ5NM+aiIiI\niIhIY+RrD7aLgFOAhaULjTEX4Fop9DDwHJAF3AxcYoy5ylr7oY/nxRhzD9AEiMW16MEgXMm1J6qw\n73HAUCAbmOtrLCJy7CoscvLhom088906DmYXlJQHOQzX9D+Ou8/qTGxkSAAjFBERERERkdpmrLVH\nb1XRzsasAHZba88uUz4VuBgYYa2d4i5LAjYCc6y1F9Q85JJzpOFaFbTYDGCUtTb9KPuFAbOAgcDf\nrbVPVfF8Syuo6tqpU6fIV199tSqHkTqQlZUFQHR0dIAjkYaoOs/Pb/uK+GBNPtuznB7lPZo7+GPX\nMFpHO2olRqnf9D1IfKVnSHyh50d8pWdIfKVnSHxV/AyNGTOG9evXL7PWnhrgkKrE1x5sScCPXsoH\nAwcpNbeZtTbNGPMVrsSWz6y1SQDGmERc86g9ASw3xlxgrV3mbR9jTBAw0R3DR8DT/ohFRI4te3Oc\nfLQ2n8VpRR7lLSIMI7uGckpCEMZoOKiIiIiIiMixwtcEWzNgf+kCY0w7IA74wpbvHrcZ17BSv3H3\nWPvUGLMMWAe8C5xQtp07ufYe8AdcCyJc7SW+ys7jNWNqjFkaHR19SkpKSg2il9qQmpoKgD4TqYnK\nnp+c/CL+9/1G/jd/I3mFR3qtRYQEcfuQZG4Y1IHwkKA6ilTqK30PEl/pGRJf6PkRX+kZEl/pGRJf\nFT9DDa0XpK8JtiygTZmy4kTU8gr2qWgVUJ9Ya7caY1YDvYwx8dbavcV1xphg4ANcybUPgGuttUUV\nHEpEjiHr0rOYv2Evh3ILaRIeTGiWs9zQTmstX/2yi39PX8POgzkedRf3asXY87rSMjaiLsMWERER\nERGResTXBNsvwPnGmCbW2kPusksBC8zz0r4DsMvHc1amlXtbkjwzxoTi6rF2Ma7ebddba51e9hWR\nY8j8DXt5YdZ6Fm3eX66uSzMHIW32MjA5ntW/Z/LwF6tYWKbdCa1jGHdhD3q3j6urkEVERERERKSe\n8jXB9j7wCvC9MeYdoDPwJyANmFO6oXFNSDQI73O2VYkxpitw0FqbVqbcAYwHEoAF1toD7vIwYCow\nHHgDuFnJNRH5aPE27pv6C84KBomvPeDkmjcW0rdDHIs27/do1zwqlHuHdeEPvdsS5NA8ayIiIiIi\nIuJ7gu0N4DJgGNALMEABMNrLEMyhuBZFmOnD+c4FnjLGzMW1Iuk+XCuJngF0xJXYu6lU+//hSq7t\nBXYCD3qZeDzVWpvqQ0wi0oDM37C30uRaMaeFnzYd6bUW7DBcN6A9dw7tRGxESC1HKSIiIiIiIg2J\nTwk2a63TGHM+8EfgNFwJr6nW2p+9NI8HXgA+9+GUM4FXca0CehLQFDiMa3GDicAEa23pcVwdSp37\nwUqOm+pDTCLSgLwwa/1Rk2tlnd4pnocu7E5yQsOaZFNERERERETqhq892HAPuXzP/aqs3SRgko/n\n+hX4azXap/hyPhFpXNalZ3mdc+1oHji/m5JrIiIiIiIiUiHH0ZscnTGmnTHmcmPMZcaYtv44poiI\nv83fsPfojbxYsHGfnyMRERERERGRxsTnHmzGmKeBu3DNvwZgjTHPWWvv9fXYIiL+dCi3sE73ExER\nERERkWODTz3YjDF/BP6GK7m2Bljr/vpvxpirfA9PRMR/QoJqtupnk3Cf/xYhIiIiIiIijZivQ0Rv\nAAqBs6y1Pay13XGtKOp014mIBFx2fiEvp27kv6kba7T/wOR4P0ckIiIiIiIijYmv3TJ6AtOstXOK\nC6y1M40xnwEpPh5bRMQnuQVFfLhoG/+ds5G9h/JqdIx+HeLonKgFDkRERERERKRivibYmuEaFlrW\nGuASH48tIlIjBUVOJi/ZwYuz17MrI9ejLiE6jD1ZedgqHMdh4M6hnWonSBEREREREWk0fE2wOYAC\nL+UFHFn0QESkThQ5LZ/9vJPnZ65n2/5sj7qWseHcMaQTf+jdhqnLdnDf1F9wVpJlcxh44rKeGh4q\nIiIiIiIiR+WPmbur0hFERKTWOJ2WGavSePa7dWzYfcijLr5JKH89M5mr+rYjPCQIgBF92tGmWSQT\nZq1n4eb95Y7XpZmDBy/vo+SaiIiIiIiIVIk/EmzjjDHjvFUYY4q8FFtrrZbkExGfWWuZvWY3z3y7\njtW7Mj3qYiNCuOWM47luwHFEhpb/ljMwOZ6ByfGsS89i/oa9HMotpEl4MKH7N9M62qHkmoiIiIiI\niFSZPxJd1R0KqqGjIuKz+Rv28vS3a1m+7aBHeZOwYG48vQN/HtSBmPCQox6nc2K0xyIGqalb/R2q\niIiIiIiINHI+JdistQ5/BSIiUhVLtuznmW/X8eOmfR7l4SEORg3owF8Gd6RZVGiAohMREREREZFj\nkYZqikiD8MuODJ75bi2pa/d4lIcGOfhjv3bcdubxJESHByg6EREREREROZYpwSYi9dratCye+24d\nM1aleZQHOwx/6N2WO4Yk06ppRICiExEREREREVGCTUTqqc17D/P8zHV8vuJ3bKm1io2BS3u1ZvRZ\nnTiueVTgAhQRERERERFxU4JNROqVHQeyeXHWBqYs20GR03rUnX9iS+46qxOdSi1KICIiIiIiIhJo\nSrCJSL2QnpnLf+ds4MNF2ygo8kysDe2awN1nd+aE1rEBik5ERERERESkYkqwiUhA7T+cz/++38g7\nC7aQV+j0qBuUHM/fzunMKe2aBSg6ERERERERkaNTgk1EAiIjp4DXf9jEm/M2czi/yKPu1OOacc85\nXTjt+OYBik5ERERERESk6pRgE5E6dTivkLcXbOGV7zeSmVvoUXdC6xjGnNOFlM4tMMYEKEIRERER\nERGR6lGCTUTqRG5BEe/9tJWXUzey73C+R13nxCb87ewuDOuRqMSaiIiIiIiINDhKsIlIrcovdPLR\nku38Z/Z60jPzPOraN4/k7rM7c0HPVgQ5lFgTERERERGRhkkJNhGpFYVFTj5dvpMXZq1nx4Ecj7rW\nTSMYPbQTl53SmuAgR4AiFBEREREREfEP/WYr4kcTJ07EGIMxhtdff91rmwULFjB8+HDi4uKIjIyk\nZ8+ePP/88xQVFXlt39A4nZbPV/zOOc/N5d4pKz2Say2iw3jk4h7MvucMruzTVsk1ERERERERaRTU\ng03ET7Zv384dd9xBkyZNOHTokNc2n332GZdffjnh4eGMGDGCuLg4vvjiC+6++27mz5/P5MmT6zhq\n/7HW8t3qdJ79bh1r0rI86ppFhnBryvFc0789EaFBAYpQREREREREpHYowSbiB9Zarr/+epo3b85l\nl13G008/Xa5NZmYmN910E0FBQaSmptK7d28Axo8fz5AhQ5gyZQqTJk1i5MiRdR2+T6y1zF2/l2e+\nXcvKHRkeddHhwdx8ekeuH9SBJmH6diMiIiIiIiKNk8ZnifjBhAkTmD17Nm+99RZRUVFe20yZMoU9\ne/YwcuTIkuQaQHh4OI8++igAL7/8cp3E6y8LN+1jxCs/cd2bizySa5GhQfz1zOOZ9/ch3DG0k5Jr\nIiIiIiIi0qjpt14RH/3222+MHTuW0aNHM3jwYGbPnu21XXH5ueeeW65u8ODBREZGsmDBAvLy8ggL\nC6vVmH318/aDPPPtWn5Yv9ejPDTYwbX9j+OWlOOJb1K/r0FERERERETEX5RgE/FBYWEh11xzDe3a\ntePxxx+vtO3atWsB6Ny5c7m64OBgOnTowKpVq9i0aRPdunWrlXh9tfr3TJ79bh0zf0v3KA8JMozo\n05bbz+xEUmx4gKITERERERERCQwl2ER88Mgjj7B8+XLmzZtHREREpW0zMlxDKGNjY73WF5cfPHjQ\nrzH6w4bdh3h+5jq+XLnLo9xh4PJT2nDn0E60jYsMUHQiIiIiIiIigaUEm0gNLVq0iMcff5wxY8Zw\n2mmn+Xw8ay0Axhifj+Uv2/dn8/zM9Xy6fAdO61l34UmtuOusThzfoklgghMRERERERGpJ5RgE6mB\n4qGhnTt3Zvz48VXap7iHWnFPtrIyMzM92gXSrowc/jN7Ax8t3k5hmcza2d0T+dvZnenWMiZA0YmI\niIiIiIjUL0qwidTAoUOHWLduHeBaBdSbm266iZtuuonRo0fz/PPP06VLF5YsWcK6des49dRTPdoW\nFhayefNmgoOD6dixY63HX5G9h/J4OXUjE3/aSn6h06NucOcWjDm7Mye1bRqY4ERERERERETqKSXY\nRGogLCyMG264wWvdsmXLWL58OYMGDaJLly4lw0eHDBnC+++/z4wZM7jqqqs89pk7dy7Z2dkMHjw4\nICuIHszO59W5m3hr/hZyCoo86vp2iOOec7rQt0NcncclIiIiIiIi0hAowSZSAxEREbz++ute68aN\nG8fy5cu57rrruPHGG0vKr7jiCv7xj38wadIk7rjjDnr37g1Abm4uDzzwAAC33npr7QdfSlZuAW/N\n38JrczeRlVfoUXdS26bcc05nBiXH16t54URERERERETqGyXYROpITEwMr732GldccQUpKSmMHDmS\nuLg4Pv/8c9auXcsVV1zBiBEj6iSWnPwi3v1xC//7fiMHsgs86romRTPmnC6c1S1BiTURERERERGR\nKlCCTaQOXXLJJXz//fc89thjfPLJJ+Tm5pKcnMyzzz7LnXfeWesJrbzCIiYt2s5/5mxgT1aeR13H\nFlH87ezODD+hJQ6HEmsiIiIiIiIiVaUEm4ifjRs3jnHjxlVYP3DgQKZPn153AQEFRU6mLtvBhFkb\n2Hkwx6OuTbMI7jqrM5f0akVwkKNO4xIRERERERFpDJRgE2nEipyWL1b8zvMz17FlX7ZHXWJMGHcM\n6cSVvdsSGqzEmoiIiIiIiEhNKcEm0ghZa/lmVRrPfreOdemHPOqaR4Vy25nJ/KlfO8JDggIUoYiI\niIiIiEjjoQSbSCNirSV17R6e+W4tv+7M9KiLCQ/mL2ccz6gB7YkK0z99EREREREREX/Rb9kijcSC\njXt55tt1LN16wKM8KjSIG07vyA2DOhAbERKg6EREREREREQaLyXYRBq4pVsP8My3a1mwcZ9HeXiI\ng+tOa89fzjieuKjQAEUnIiIiIiIi0vg1uASbMeZJoDfQGYgHcoCtwDTgP9bafaXahgC3Ab2Ak4Hu\nQAhwk7X29ToNXMTPft2ZwbPfrWP2mt0e5SFBhj/2bcdfz0wmISY8QNGJiIiIiIiIHDsaXIINuBtY\nBnwH7AaigP7AOOBmY0x/a+12d9so4Hn31+lAGtC2LoMV8bf16Vk8+906vv41zaM8yGH4w6ltuH1I\nMm2aRQYoOhEREREREZFjT0NMsMVYa3PLFhpjHgPuB+7D1WsNIBsYDvxsrd1ljBkHPFRXgYr405a9\nh3lh1nqm/bwTa4+UGwMXn9SKu87qTPv4qMAFKCIiIiIiInKManAJNm/JNbePcSXYOpVqmw98XRdx\nidSWnQdz+M/s9Xy8ZAdFTutRd94JSdx9dmc6J0YHKDoRERERERERaXAJtkpc6N6uDGgUIn6yOyuX\nl+Zs5IOF28gvcnrUndmlBX87uwsntokNUHQiIiIiIiIiUsxYa4/eqh4yxtwDNAFicS16MAhXcu0s\na+2eCvYZh2uIaLUXOTDGLK2gqmunTp0iX3311eocTmpRVlYWANHRDbNX16F8y/TNBczcWkC+Z16N\nbnEOLusUSqdmQYEJ7hjQ0J8fCTw9Q+IrPUPiCz0/4is9Q+IrPUPiq+JnaMyYMaxfv36ZtfbUAIdU\nJQ25B9s9QGKp9zOAURUl10Tqu+wCyzdbCvhmSwG5RZ51yU1dibXuzZVYExEREREREalvGmyCzVqb\nBGCMSQQGAE8Ay40xF1hrl9XC+bxmTI0xS6Ojo09JSUnx9ymlhlJTUwGoD5/JuvQs5m/Yy6HcQpqE\nBzMwOb7cfGnZ+YW8vWALryzYREZOgUddj1Yx3HNOF1K6tMAYU5ehH7Pq0/MjDZOeIfGVniHxhZ4f\n8ZWeIfGVniHxVfEz1NB6QTbYBFsxa2068KkxZhmwDngXOCGwUcmxbv6Gvbwwaz2LNu8vV9e3Qxyj\nh3bi1OOa8f7CbbycuoG9h/I92nRKaMLfzu7MsB5JOBxKrImIiIiIiIjUZw0+wVbMWrvVGLMa6GWM\nibfW7g10THJs+mjxNu6b+gvOCqY3XLR5P1e/vpDo8GAycws96o5rHsndZ3XmwpNaEaTEmoiIiIiI\niEiD0GgSbG6t3NuiSluJ1JL5G/ZWmlwrZsEjudYqNpw7h3bi8lPbEBLkqN0gRURERERERMSvGlSC\nzRjTFThorU0rU+4AxgMJwAJr7YFAxCfywqz1R02ulRbsMDxwfjeu6teOsGAtYCAiIiIiIiLSEDWo\nBBtwLvCUMWYusBHYh2sl0TOAjkAacFPpHYwxY4Gu7re93NvrjTGD3F/Ps9a+XstxyzFgXXqW1znX\nKlPotAxIjldyTURERERERKQBa2gJtpnAq8BA4CSgKXAY1+IGE4EJ1tqyGY5zcSXgShvgfhVTgk18\nNn9Dzab9m79hb7mVRUVERERERESk4WhQCTZr7a/AX6u5T0rtRCPi6VCZBQtqez8RERERERERqR80\nm7rUmX379vH6669z6aWXkpycTEREBLGxsQwaNIg33ngDp9Ppdb8FCxYwfPhw4uLiiIyMpGfPnjz/\n/PMUFdWvtSzCQmr2z6lJeIPKc4uIiIiIiIhIGfrNXurM5MmTufXWW2nZsiVnnnkm7dq1Iz09nalT\np3LjjTfy9ddfM3nyZIwxJft89tlnXH755YSHhzNixAji4uL44osvuPvuu5k/fz6TJ08O4BUdsWzb\nAd5dsLVG+w5MjvdzNCIiIiIiIiJSl5RgkzrTuXNnPv/8c84//3wcjiO9vR5//HH69u3LJ598wtSp\nU7n88ssByMzM5KabbiIoKIjU1FR69+4NwPjx4xkyZAhTpkxh0qRJjBw5MiDXA5BbUMTzM9fz6tyN\n1Vo9tFi/DnGaf01ERERERESkgdMQUakzQ4YM4cILL/RIrgEkJSVxyy23AJCamlpSPmXKFPbs2cPI\nkSNLkmsA4eHhPProowC8/PLLtR94BVbuOMiFL87jf98fSa6Fhzgwle9WwmHgzqGdai0+ERERERER\nEakbSrBJvRASEgJAcPCRTpWzZ88G4Nxzzy3XfvDgwURGRrJgwQLy8vLqJki3/EInz3y7lktfWsD6\n3YdKygcc35yZfzuDJy4/EcdRsmwOA09c1lPDQ0VEREREREQaAQ0RlYArLCzk3XffBTyTaWvXrgVc\nQ0vLCg4OpkOHDqxatYpNmzbRrVu3Ool19e+ZjJm8gt92ZZaURYQEcf/wrvyp33E4HIYRfdrRplkk\nE2atZ+Hm/eWO0a9DHHcO7aTkmoiIiIiIiEgjoQSbBNzYsWP59ddfGT58OMOGDSspz8jIACA2Ntbr\nfsXlBw8erPUYC4qcvJy6kQmz1lNYarK1vh3iePqKk2jXPNKj/cDkeAYmx7MuPYv5G/ZyKLeQJuHB\nDEyO15xrIiIiIiIiIo2MEmwSUBMmTOCZZ56ha9euTJw4sVr7WutKdJVedbQ2rEvPYszHK/hlZ0ZJ\nWViwg7+f25XrB7THUcl40M6J0UqoiYiIiIiIiDRySrBJwPz3v/9l9OjRdO/enVmzZhEXF+dRX9xD\nrbgnW1mZmZke7fytyGl5de4mnvtuHflFzpLyU9o15ek/nETHFk1q5bwiIiIiIiIi0rBokQMJiOef\nf57bb7+dE044gTlz5pCUlFSuTZcuXQBYt25dubrCwkI2b95McHAwHTt29Ht8G/cc4or/LeDJGWtK\nkmuhQQ7uO68rk28ZoOSaiIiIiIiIiJRQgk3q3JNPPsndd99Nr169mDNnDgkJCV7bDRkyBIAZM2aU\nq5s7dy7Z2dkMGDCAsLAwv8VW5LS8/sMmhr/wA8u3HSwp79kmlq/uHMRfzjieoKMtESoiIiIiIiIi\nxxQl2KROjR8/nrFjx3Lqqacya9Ys4uMrXknziiuuID4+nkmTJrFkyZKS8tzcXB544AEAbr31Vr/F\ntnXfYUa++iOPfvUbeYWuXmshQYZ7zunM1FsH0ElzqYmIiIiIiIiIF5qDTerMO++8w4MPPkhQUND/\nt3fn8VZVdePHP19ABmVQRHEgBUWch9IyIRW1shwSFYN6rLDyMfNRM5ss66HSX4PmlGVJlqk9auJs\nphWGFDZpoeYAkqA4oYAyepFh/f7Y++LxcO6953AunHPu/bxfr/3anLXX2nudsxf77PO9a6/FgQce\nyGWXXbZWnsGDBzNu3DgA+vbty4QJExg9ejQjR45k7Nix9O/fnzvuuIPp06czevRoxowZU3W9Vq9O\nXPe3Z/jO3U/y+opVa9J33bovPzhhb3bbpm/Vx5AkSZIkSR2XATZtMLNmzQJg1apVXHLJJSXzHHzw\nwWsCbACjRo3i/vvv5/zzz+fmm2+mqamJoUOHctFFF3HGGWdUPYPonAXL+PLNj/DAf+avSevaJTjt\nkKH8zyFD6d7NTp6SJEmSJKl1Bti0wYwfP57x48dXXG7EiBHcfffd7VqXlBLX/30O5//mcZa+8Wav\ntWEDe/ODE/Zhz0HrZ2ZSSZIkSZLU8RhgU6fz4sLX+fLNjzJlxitr0roEnHLwjnzuvTvRo1vXGtZO\nkiRJkiQ1GgNs6jRSSkx86Dm+ddfjLG5auSZ9hy024cIT9uYd221Ww9pJkiRJkqRGZYBNncLLi5o4\n55ZHmfTky2vSIuBTI4bwhcN3pudG9lqTJEmSJEnrxgCbOrSUEnc8/ALfuP0xFr6+Yk369ptvzIUn\n7M07B/evYe0kSZIkSVJHYIBNHda8Jcs599Z/c89jL70l/RMHbM+XP7gLG3e3+UuSJEmSpOoZYVCH\n9I+XVvL5i6ewYOkba9IGbdaL74/ei+E7DqhhzSRJkiRJUkdjgE0dyqtL3+CKaU387aVVb0n/yLu2\n42tH7krvHjZ5SZIkSZLUvow2qMP4/eNzOeeWR5m35M3g2tb9evK94/fioGFb1LBmkiRJkiSpIzPA\npoa3cNkKvnnnY9zyr+ffkn7CvoM496jd6NdroxrVTJIkSZIkdQYG2NTQ/jj9Zb5y8yPMXbR8TVq/\nHsFJu3fncyfsXcOaSZIkSZKkzsIAmxrS4qYVnHfXE9z44Jy3pI/aZxve2/81enePGtVMkiRJkiR1\nNgbY1HCmzpzHlyY+wvOvvb4mbfNNunP+sXvygT22YvLkybWrnCRJkiRJ6nQMsKmuzJi7mKkz57Gk\naSW9e3ZjxNABDBvYB4Cly1fynd8+wXV/ffYtZY7cc2u+dczubN67Ry2qLEmSJEmSOjkDbKoLU2fO\n49JJT/H3WQvW2vauIf15324DueYvs5mz4M1ea5tuvBHfPmYPjt57mw1ZVUmSJEmSpLcwwKaau/Ef\nz3LOLY+yOpXe/vdZC9YKvL1vt4Gcf+webNmn5waooSRJkiRJUssMsKmmps6c12pwrdjGG3Xh/OP2\nZNQ+2xLhRAaSJEmSJKn2DLCppi6d9FTZwTWAnbfuy7FvH7T+KiRJkiRJklShLrWugDqvGXMXlxxz\nrTX/evY1ZsxdvJ5qJEmSJEmSVDkDbKqZqTPnbdBykiRJkiRJ64MBNtXMkqaVG7ScJEmSJEnS+mCA\nTTXTu+e6DQG4ruUkSZIkSZLWBwNsqpkRQwds0HKSJEmSJEnrgwE21cywgX3YY9u+FZXZf0h/hg3s\ns55qJEmSJEmSVDkDbKqZ+UuW8+JrTWXn7xJwxmE7rccaSZIkSZIkVc4Am2rijZWrOfW6fzJ/6Rtl\n5e8S8N3j9vLxUEmSJEmSVHcMsGmDSynxjdv/zd9nLwAgAs5+/zD2H9K/ZP79h/Tn2k/tz4ff+bYN\nWU1JkiRJkqSyNNx0jBHxPWA/YBgwAHgdeAa4Dbg8pTS/RJnhwLnAu4GewEzg58APU0qrNkzN1ezq\nB2Zzwz/mrHn9pcN34dSRO3L6oTsxY+5ips6cx5KmlfTu2Y0RQwc45pokSZIkSaprjdiD7SxgE+D3\nwKXAr4CVwHjgkYh4SzeniDgGmAIcBNwK/AjoDlwM3LDBal1DEydO5PTTT+fAAw+kb9++RAQnnnhi\nq2UeeOABjjjiCPr378/GG2/MXnvtxSWXXMKqVdXFI//01Ct8+67H17w+9u3b8pmDd1jzetjAPpw0\nYginH7YTJ40YYnBNkiRJkiTVvYbrwQb0TSmtNTJ+RJwPfBU4B/hsntYXmACsAkamlB7M078O3AeM\njoixKaUOHWg777zzePjhh+nduzeDBg3iySefbDX/7bffzvHHH0/Pnj0ZM2YM/fv358477+Sss85i\n6tSp3HTTTetUj6dfWcJpv/onq1P2ep+3bcp3jtuTiFin/UmSJEmSJNWDhuvBViq4lvt1vi6cZnI0\nsAVwQ3NwrWAf5+YvT233StaZiy++mBkzZrBo0SKuuOKKVvMuWrSIk08+ma5duzJ58mSuuuoqLrjg\nAqZNm8YBBxzAxIkTueGGyuORC19fwaeveZBFTSsB2KpvT6782L703KjrOr0nSZIkSZKketFwAbZW\nHJ2vHylIOzRf31Mi/xRgGTA8Inqsz4rV2iGHHMJOO+1UVk+xiRMn8sorrzB27Fj222+/Nek9e/bk\nvPPOA2gzSFds5arVnH79v3j6laUA9OjWhSs/vi9b9u1Z0X4kSZIkSZLqUSM+IgpARHwB6A30I5v0\n4D1kwbXvFmTbOV/PKC6fUloZEbOA3YEdgCfaON5DLWzaZfHixUyePLmi+tfKtGnTAJg7d27JOl9/\n/fUAbLfddmttTynRs2dPpk6dyu9+9zu6d+9e1jGvf2I5U55Zueb1J3ffiAUzpzF55jq9hTYtXrwY\noGHOieqL7UfVsg2pWrYhVcP2o2rZhlQt25Cq1dyGmteNomEDbMAXgIEFr+8BxqWUXilI65evF7aw\nj+b0Tdu3ao1rzpxsds9Bgwatta1r165stdVWzJ49mxdffJHtt9++zf1NeW4F9xYE147ecSP237qR\nm50kSZIkSdJbNWykI6W0FUBEDASGk/Vc+1dEHJVS+meZu2l+ZjKVcbx9S+4g4qE+ffq8Y+TIkWUe\nsj4MHDiQUnVevXo1AIcddhhDhw5da/s222zD7NmzGTZsGAcccECrx3hw9gKu/f1f17w+fPeBXPpf\n+9Kly/qd1KD5LyWNdk5UH2w/qpZtSNWyDakath9VyzakatmGVK3mNtSnT5/aVqRCDT8GW0ppbkrp\nVuD9wObANQWbm3uo9VurYKZvUT61IaUsFtnWeG7PvbqMU659iBWrsvy7bNWHiz68z3oPrkmSJEmS\nJG1oDR9ga5ZSegZ4HNg9IgbkydPz9bDi/BHRDRgCrASe3iCVbAD9+mWxyIULS8ccFy1a9JZ8pSxd\nvpKTr3mI+UvfAGDzTbrzs0/sxyY9GrbDpCRJkiRJUos6TIAtt02+XpWv78vXHyiR9yBgY+CBlNLy\n9V2xRrHzztm8EDNmrDUvBCtXrmTWrFl069aNHXbYoWT51asTZ//6YZ54MQvEbdQ1+MnH9mXQZhuv\nv0pLkiRJkiTVUEMF2CJil4jYqkR6l4g4H9iSLGD2ar5pIjAPGBsR+xXk7wmcl7+8Yj1Xu6Eceuih\nANxzzz1rbZsyZQrLli1j+PDh9OjRo2T5SyY9xT2PvbTm9Xmj9uCdg/uvn8pKkiRJkiTVgYYKsJH1\nRJsTEZMi4sqI+E5E/Bx4Cvgq8BJwcnPmlNKi/HVXYHJE/Cwivg9MAw4gC8DduIHfQ10bPXo0AwYM\n4IYbbuDBBx9ck97U1MS5554LwKmnnlqy7F2PvMBlk55a8/qkEYMZ887t1m+FJUmSJEmSaqzRBsX6\nA3AlMALYG9gUWArMAK4FLkspLSgskFK6LSIOBr4GHA/0BGYCn8/ztzmDaKO77bbbuO222wB46aWs\nd9lf/vIXxo0bB8CAAQO48MILAejbty8TJkxg9OjRjBw5krFjx9K/f3/uuOMOpk+fzujRoxkzZsxa\nx/j38wv5wk0Pr3l94E4D+NoRu67fNyZJkiRJklQHGirAllL6N3DaOpSbChzR/jVqDNOmTeOXv/zl\nW9Kefvppnn46m9th++23XxNgAxg1ahT3338/559/PjfffDNNTU0MHTqUiy66iDPOOGOtGURfXtzE\nydc8SNOK1QDsMGATLv/oO+jWtdE6SEqSJEmSJFWuoQJsWjfjx49n/PjxFZUZMWIEd999d5v5mlas\n4pRrH+LFhU0A9OnZjQmf2I9+vTZal6pKkiRJkiQ1HLsYaZ2llPjqrY/yr2dfA6BLwI8++g523KJ3\nbSsmSZIkSZK0ARlg0zq7csrT3PLP59e8PvfI3Tho2BY1rJEkSZIkSdKGZ4BN6+S+J+fy3XueXPN6\nzH5v46QRg2tXIUmSJEmSpBoxwKaKPTV3MWdcP43m+VffOXgzvj1qj7UmP5AkSZIkSeoMDLCpIq8u\nfYNPX/MgS5avBGDbTXtxxYn70r2bTUmSJEmSJHVORkVUthWrVnPa//2TZ+YvA2Dj7l2Z8PH9GNC7\nR41rJkmSJEmSVDsG2FS2b935OA/8Z/6a1xd9eB9226ZvDWskSZIkSZJUewbYVJbr/voM1/71mTWv\nz37fMD6wx1Y1rJEkSZIkSVJ9MMCmNv3lP/MZf8dja14ftdfW/M+hQ2tYI0mSJEmSpPphgE2tenb+\nMk791UOsXJ1NGbrntv24YPTezhgqSZIkSZKUM8CmFi1uWsGnr/kHry1bAcAWfXow4eP70at71xrX\nTJIkSZIkqX50q3UFVB9mzF3M1JnzWNK0kt49u/HuHTbnwnunM2PuEgC6d+vClR/bl6369axxTSVJ\nkiRJkuqLAbZOburMeVw66Sn+PmtBq/m+d/yevH27zTZQrSRJkiRJkhqHAbZO7MZ/PMs5tzxKPrxa\ni0YO24Jj3z5ow1RKkiRJkiSpwTgGWyc1dea8soJrAFOeeoWpM+et/0pJkiRJkiQ1IANsndSlk54q\nK7gGsDrBZZOeWr8VkiRJkiRJalAG2DqhGXMXtznmWrG/zVrAjLmL11ONJEmSJEmSGpcBtk5oXR/3\n9DFRSZIkSZKktRlg64SWNK3coOUkSZIkSZI6MgNsnVDvnus2eey6lpMkSZIkSerIDLB1QiOGDtig\n5SRJkiRJkjoyA2yd0LCBfXjXkP4Vldl/SH+GDeyznmokSZIkSZLUuAywdVJnHrYTXaK8vF0Czjhs\np/VbIUmSJEmSpAZlgK2TGjF0AN85bs82g2xdAr573F4+HipJkiRJktQCR63vxMa8czsGbbYxl016\nir/NWrDW9v2H9OeMw3YyuCZJkiRJktQKA2yd3IihAxgxdAAz5i5m6sx5LGlaSe+e3RgxdIBjrkmS\nJEmSJJXBAJuAbOIDA2qSJEmSJEmVcww2SZIkSZIkqQoG2CRJkiRJkqQqGGCTJEmSJEmSqmCATZIk\nSZIkSaqCATZJkiRJkiSpCgbYJEmSJEmSpCoYYJMkSZIkSZKqYIBNkiRJkiRJqkKklGpdh4YWEfN7\n9erVf9ddd611VZRbvHgxAH369KlxTdSIbD+qlm1I1bINqRq2H1XLNqRq2YZUreY29Nxzz/H6668v\nSCltXuMqlcUAW5UiYhbQF5hd46roTbvk6ydrWgs1KtuPqmUbUrVsQ6qG7UfVsg2pWrYhVau5DTUB\ni1JKQ2pZmXIZYFOHExEPAaSU9q11XdR4bD+qlm1I1bINqRq2H1XLNqRq2YZUrUZtQ47BJkmSJEmS\nJFXBAJskSZIkSZJUBQNskiRJkiRJUhUMsEmSJEmSJElVMMAmSZIkSZIkVcFZRCVJkiRJkqQq2INN\nkiRJkiRJqoIBNkmSJEmSJKkKBtgkSZIkSZKkKhhgkyRJkiRJkqpggE2SJEmSJEmqggE2SZIkSZIk\nqQoG2CRJkiRJkqQqGGBTTUTE5hHx6Yi4NSJmRsTrEbEwIv4cEZ+KiC5F+QdHRGpluaGVY30iIv4e\nEUvyY0yOiKNayd8rIr4ZEdMjoikiXo6IX0fEru35Gag6ETG7lfbwUgtlhkfE3RGxICKWRcQjEfG5\niOjaynFsPx1QRIxr45qSImJVQX6vQZ1URIyOiB9GxJ8iYlF+vq9ro0xdXmsiYlBE/DwiXoiI5fl1\n9JKI2Ky8T0PropI2FBE7RcSXI+K+iJgTEW9ExNyIuD0iDmmhTFvXs8+0UM421AAqbD91/V1l+6mN\nCtvQ1W20oRQRk4rKeA3qwKLC3+0F5TrlvVCklNpjP1JF8gvtFcCLwB+BZ4GBwHFAP+Bm4ISUN9CI\nGAzMAh4Gbiuxy3+nlCaWOM6FwNnAc8BEoDswFugPnJ5Surwofw9gEjACeBC4D3gbcALwBnBoSulv\n6/7O1V4iYjawKXBJic1LUkoXFuU/hqxdNQE3AguAo4GdgYkppRNKHMP200FFxD7AqBY2HwgcCvwm\npXRUnn8wXoM6pYiYBuwNLCE7j7sAv0opndhC/rq81kTEjsADwJbA7cCTwLuAQ4DpwIiU0vzyPxmV\nq5I2lAdAxgCPA38maz87Ax8CugJnppQuKyozDvgF2XmdVqIKd6WUHiwqYxtqEBW2n8HU6XeV7ad2\nKmxDo4B9WtjVx4AdgC8W3md7DerYKv3dnpfpvPdCKSUXlw2+kP14PRroUpS+Fdl/2gQcX5A+OE+7\nuoJjDM/LzAQ2K9rXfLL/8IOLypyTl7mpsG7AMXn6Y8V1dqlZG5oNzC4zb1/gZWA5sF9Bes/8IpuA\nsbYfl/x8/SU/Xx8qOu9egzrhQnbTtRMQwMj8PFzXQt66vdYA9+bbTi9KvyhP/0mtP+uOulTYhsYB\nby+RfjDZD4blwNYlyiRgXAV1sg01yFJh+6nb7yrbT2O0oVb2sSmwLL8GDSja5jWoAy9U/ru9U98L\n1fyEubgUL8BX8wb+w4K0dblhuCYvc1KJbd/Kt32zIC2AZ/L0ISXKTMm3HVLrz8il4gDbJ/Nz98sS\n2w7Nt91v+3EB9sjP03NA14J0r0Eu0PaP27q81pD1OEhkPVuKbzb7kPVqWApsUuvPuKMvbbWhNsr+\njqIfMnn6OCr4cWsbatyljGtQXX5X2X7qZ1nXaxBwel7u+hLbvAZ10oXSv9s79b2QY7CpHq3I1ytL\nbNsmIk6JiK/m671a2c+h+fqeEtt+W5QHYEdgO2BGSmlWmWVUWz0i4sS8PZwZEYe08Fx/a21hCtlf\n5IbnXY3LKWP76bhOyddXpZRWldjuNUitqddrTfO/f5dSWl2YOaW0GJgKbAy8u8T+VD9auz8C2Ccf\n3+YrEfGxiBjUQj7bUMdXb99Vtp/Gd3K+vrKVPF6DOp9S30ud+l6oWzWFpfYWEd2Aj+cvS/0He1++\nFJaZDHwipfRsQdomwLZkY3G9WGI/T+XrYQVpO+frGS1Ur1QZ1dZWwLVFabMi4qSU0v0FaS2e25TS\nyoiYBexO9peNJ2w/nVNE9AJOBFYDP2shm9cgtaZerzXllHl/XmZSC3lUQxGxPXAY2Q+TKS1kO7Po\n9aqI+BnwuZRSU0G6bajjq7fvKttPA4uIA4A9yYIZf2wlq9egTqSV3+2d+l7IHmyqN98le0Tr7pTS\nvQXpy4BvA/sCm+XLwWQDLY4EJuX/OZv1y9cLWzhOc/qmVZZR7fyC7MfGVsAmZF/8PyV7POK3EbF3\nQd5Kz63tp3P6MNn5+W1KaU7RNq9BKke9XmtsWw0s/yv/r4AewPiU0qtFWWaRPb61M9n34TZk17PZ\nZL1yf16U3zbUcdXrd5Xtp7H9d76e0MJ2r0GdU0u/2zv1vZABNtWNiDiDbOaQJ8lmqVkjpfRySukb\nKaV/ppRey5cpZFHmvwFDgU+vw2FTJVVchzJaT1JK30wp3ZdSmptSWpZS+ndK6TNkg1T2AsZXsLt1\nPbe2n46l+Qbyp8UbvAapndTrtca2VafyYQ+uJZsl7UbgwuI8KaX7U0qXp5Rm5N+HL6aUbiIb2PxV\n4CNFf3Rq87DNu17PZdTOGvi7yvZTpyKiH1mw7A3g6lJ5vAZ1Pq39bi+neL7ukPdCBthUFyLiNOBS\nsmnpD0kpLSinXEppJW8+ynVQwabmCHQ/SisVwW6rTN8SZVR/fpKvK2kPxefW9tPJRMRuZDMYPQfc\nXW45r0EqUq/XGttWA8qDa9cBJwC/Bk5M+WjM5ch74jZfz6r5TlzXMqoTdfBdZftpXCeSjUt1S0pp\nXiUFvQZ1TGX8bu/U90IG2FRzEfE54HLg32T/SV+qcBev5Os1Xd5TSkuB54HeEbF1iTI75evCZ7Cn\n5+uWxjcqVUb15+V8XfgIRIvnNh8/YAjZ4JxPg+2nk2prcoPWeA1Ss3q91ti2GkzeXq4HxgL/B3w0\nD5JUaq3rE7ahzqqW31W2n8bVPLnBWr37y+Q1qAMp83d7p74XMsCmmoqILwMXA9PI/pO+3HqJkppn\n+ni6KP2+fP2BEmU+WJQH4D/As8CwiBhSZhnVnwPydWF7aK0tHET2l7kHUkrLyyxj++lAIqInWff2\n1cBV67ALr0FqVq/XmuZBqd8fEW+594uIPmSPH74O/LXE/rSBRUR3YCJZz7VrgI+tQ+C/2f75uvD6\nZBvqnGr5XWX7aUARsT+wN9nkBpPXcTdegzqICn63d+57oZSSi0tNFuDrZM84Pwj0byPv/kD3EumH\nAk35foYXbRuep88ENitIHwzMz8sNLipzTl7mJqBLQfoxefpjhekuNWs7u5dqM8D2ZDPAJOCrBel9\nyf6CthzYryC9J/BAnn+s7adzLmTBtQTc2Uoer0EukA0SnoDrWthet9ca4N582+lF6Rfl6T+p9efb\nGZYy2lAP4Dd5np+V8/8dOLBEWhS0k1eAvrahxl/KaD91+11l+6mPpa02VJT3qjzv2W3k8xrUwRcq\n+93eqe+FIt+htEFFxCfIBspcBfyQ0s86z04pXZ3nn0wWVJlMNkYSwF5kNwwAX08pnVfiOD8APp+X\nmQh0B8YAm5P9x7q8KH8Pskj3cLILyCRgO7K/Ir8BHJpS+lvl71jtKSLGA18h+0vELGAxsCNwJNnF\n+27g2JTSGwVlRpG1gSbgBmAB8CGyGY8mAh9ORRdE20/nEBF/At4DfCildGcLeSbjNahTyq8do/KX\nWwGHk/0l/k952ryU0heK8tfdtSYidiS7sd0SuB14guzH+CFkj0MMTynNr+zTUTkqaUMR8QtgHDAP\n+DGlB1uenAp6k0REIjuH/yB7zKYf2V/i9yCbVfLYlNLviupkG2oQFbafydTpd5Xtp3Yq/R7Ly/QF\nXgA2ArZNrYy/5jWoY6v0d3teZhSd9V6o1tFQl865kM3wmNpYJhfk/xRwF9l0z0vIIuLPks2otdZf\nTYqO9QmyC/5SskDM/cBRreTvBXyTrCfUcrII/E3AbrX+3FzWnKODycameRJ4DViRn6ffAx+H7I8H\nJcqNIAu+vUrWBfhR4Cygq+2ncy7Arvn1Zk4b7cBrUCddyvi+ml2iTF1ea4C3Ab8AXiS7+XyGbKDi\nVv8a7bLh2hBZYKSt+6PxRfu/IG8vL5D9mFlG9v14ObCDbaixlwrbT11/V9l+6r8NFZQ5Nd92fRn7\n9xrUgZcy2s9bfrcXlOuU90L2YJMkSZIkSZKq4CQHkiRJkiRJUhUMsEmSJEmSJElVMMAmSZIkSZIk\nVcEAmyRJkiRJklQFA2ySJEmSJElSFQywSZIkSZIkSVUwwCZJkiRJkiRVwQCbJEmSJEmSVAUDbJIk\nSZIkSVIVDLBJkiRJkiRJVTDAJkmSJEmSJFXBAJskSaoLETEuIlJEjOvMdSglIsbn9RrZzvsdme93\nfHvutxoR0T8iFkTEj4rSr87rOrhGVVtvIuLsiFgREbvUui6SJGndGGCTJEntLiL2i4hfRMTTEfF6\nRCyKiEcj4oKI2LYdj9Nhgy6d2LeAXsD/29AHztvS5A19XODHwMvAhTU4tiRJagcG2CRJUruJzPeA\nfwAnAk8ClwFXAcuALwAzImJ07WrZqluBXfN1Z/B3svd7ea0rAhAR2wGnANemlJ6vdX02lJTS68Cl\nwJERMbzW9ZEkSZXrVusKSJKkDuXrwJeA2cBRKaXHCjdGxPHAdcANEfG+lNIfN3wVW5ZSWggsrHU9\nNpSU0jKyIGi9OIXs/vTqGtejFq4j67X3WeCBGtdFkiRVyB5skiSpXeSPaX4dWAF8qDi4BpBSuhk4\nC+gKXBERJe9FIuLIiHggIpZGxKsRMTEidirKk4BP5C9n5Y/3pYiYXZBn34i4NCIezsf1aoqIpyLi\nBxGxWYnjlhyDLSJm58vG+WOuz0bE8oiYGRFfjoho4X3sn9f9pYh4IyLmRMRPI2KbFvLvGxH3RMTi\n/LHaP0TEAaXytiYiBkbEhRExPf8MX8v/fXVE7FCQb60x2ArGe2txKXG8wyPi7oiYl38u/8k/p00r\nqHMAJwFzUkqtBZi6RMTnI+LJ/Hw+FxEXR0Tfgn11zT/rRRHRu4XjXZ6/n+Obz3u+6eCi9zu+qFzZ\n5zQidoiIK/N28nreBh+NiJ9ExOaFeVNKLwB/AkYXvhdJktQY7MEmSZLay0lk9xa/Tik92kq+n5EF\n4nYGDgaKe7EdB3yQ7DHNycA+wPHAIRExPKU0Pc/3TWAUsDfZ43Wv5emv8aaTgWOB+4E/kAX23gF8\nHvhgROyfU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",
       "text/plain": [
        "<Figure size 1000x350 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 250,
-       "width": 620
-      }
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1136,14 +1115,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.749763Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.749408Z",
-     "iopub.status.idle": "2024-02-18T07:44:10.754212Z",
-     "shell.execute_reply": "2024-02-18T07:44:10.753687Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.749748Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.687477Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.687354Z",
+     "iopub.status.idle": "2026-07-25T01:10:44.692234Z",
+     "shell.execute_reply": "2026-07-25T01:10:44.691231Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.687464Z"
     }
    },
    "outputs": [],
@@ -1176,30 +1155,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-18T07:44:10.755298Z",
-     "iopub.status.busy": "2024-02-18T07:44:10.754833Z",
-     "iopub.status.idle": "2024-02-18T07:44:13.209126Z",
-     "shell.execute_reply": "2024-02-18T07:44:13.208601Z",
-     "shell.execute_reply.started": "2024-02-18T07:44:10.755283Z"
+     "iopub.execute_input": "2026-07-25T01:10:44.693004Z",
+     "iopub.status.busy": "2026-07-25T01:10:44.692888Z",
+     "iopub.status.idle": "2026-07-25T01:10:57.704285Z",
+     "shell.execute_reply": "2026-07-25T01:10:57.703114Z",
+     "shell.execute_reply.started": "2026-07-25T01:10:44.692992Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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ZPP3008evr169mj/++INx48bRrFmz49fT09OZNGkSvXr14sEHHyzTPf744w/u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\npQQHdpYV1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KkCgzNJkiRJkiSpAoMzSZIkSZIkqQKDM0mSdMaKiLdERIqIt5zNY6gkIm7N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\nqYL/HxU2F9mXopeaAAAAAElFTkSuQmCC\n",
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",
       "text/plain": [
        "<Figure size 1000x350 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "image/png": {
-       "height": 251,
-       "width": 615
-      }
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
diff --git a/mediapy_examples.py b/mediapy_examples.py
index 329b979..f578d8a 100644
--- a/mediapy_examples.py
+++ b/mediapy_examples.py
@@ -105,7 +105,7 @@
 
 # %%
 # Display a video (a 3D or 4D array, or an iterable of images):
-video1 = media.moving_circle((65, 65), num_images=10)
+video1 = media.moving_circle((64, 64), num_images=10)
 media.show_video(video1, fps=2)
 
 # %%
@@ -212,17 +212,22 @@ def game_of_life(shape=(40, 60), seed=1):
 
 
 # %%
-def mandelbrot(shape, center_xy=(-0.75, -0.5), radius=1.25, max_iter=200):
+def mandelbrot(shape, center_xy=(-0.75, -0.5), radius=1.25, mag=4.0):
   yx = np.moveaxis(np.indices(shape), 0, -1)
   yx = (yx + 0.5 - np.array(shape) / 2) / max(shape) * 2  # in [-1, 1]^2
   c = np.dot(yx * radius + center_xy[::-1], (1j, 1))
-  count_iter = np.zeros(shape)
   z = np.zeros_like(c)
-  for it in range(max_iter):
-    active = abs(z) < 4
-    count_iter[active] = it
-    z[active] = z[active] ** 2 + c[active]
-  return np.where(active, 0, count_iter)
+  time = np.zeros(shape)
+
+  for it in range(200):
+    mag0 = abs(z)
+    with np.errstate(all='ignore'):
+      z = z**2 + c
+    mag1 = abs(z)
+    end = (mag0 < mag) & (mag1 >= mag)
+    time[end] = it + (mag - mag0[end]) / (mag1[end] - mag0[end])
+
+  return time
 
 
 # %%

From 58558631552a4b2163c1cf954c0258d637cf75ef Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Fri, 24 Jul 2026 19:02:26 -0700
Subject: [PATCH 06/16] Clean up tests to eliminate pyrefly pragmas

---
 mediapy_test.py | 211 ++++++++++++++++++++++--------------------------
 1 file changed, 98 insertions(+), 113 deletions(-)

diff --git a/mediapy_test.py b/mediapy_test.py
index 1d2fc31..10a394f 100755
--- a/mediapy_test.py
+++ b/mediapy_test.py
@@ -21,12 +21,12 @@
 import tempfile
 from unittest import mock
 
-from absl.testing import absltest
-from absl.testing import parameterized
-import IPython
-import matplotlib
-import mediapy as media
+import IPython.display
+import matplotlib.pyplot
 import numpy as np
+from absl.testing import absltest, parameterized
+
+import mediapy as media
 
 # pylint: disable=missing-function-docstring, protected-access
 # pylint: disable=too-many-public-methods
@@ -424,7 +424,7 @@ def gray(x):
         cmap = matplotlib.colormaps['gray']  # Newer version.
       else:
         cmap = matplotlib.pyplot.cm.get_cmap('gray')  # pylint: disable=no-member
-      return cmap(x)[..., :3]
+      return cmap(x)[..., :3]  # pyrefly: ignore[bad-index]
 
     self.assert_all_close(media.to_rgb(a), gray([0.0, 0.5, 1.0]))
     self.assert_all_close(
@@ -449,15 +449,20 @@ def test_compress_decompress_image_roundtrip(self, dtype):
     self.assertEqual(image.dtype, new_image.dtype)
     self.assert_all_equal(image, new_image)
 
-  def test_show_image(self):
+  def capture_html_string(self, func) -> str:
     htmls = []
     with mock.patch('IPython.display.display', htmls.append):
-      media.show_image(media.color_ramp())
+      func()
     self.assertLen(htmls, 1)
     self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertRegex(htmls[0].data, '(?s)<img width=[^<>]*/>')  # pyrefly: ignore[bad-specialization]
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
+    self.assertIsInstance(htmls[0].data, str)
+    return htmls[0].data
+
+  def test_show_image(self):
+    s = self.capture_html_string(lambda: media.show_image(media.color_ramp()))
+    self.assertLen(re.findall('(?s)<table', s), 1)
+    self.assertRegex(s, '(?s)<img width=[^<>]*/>')
+    self.assertLen(re.findall('(?s)<img', s), 1)
 
   def test_set_show_save_dir_image(self):
     self.enter_context(mock.patch('IPython.display.display'))
@@ -483,73 +488,61 @@ def test_set_show_save_dir_image(self):
   def test_show_image_downsampled(self):
     image = np.random.default_rng(0).random((256, 256, 3))
     for downsample in (False, True):
-      htmls = []
-      with mock.patch('IPython.display.display', htmls.append):
-        media.show_image(image, height=64, downsample=downsample)
+      s = self.capture_html_string(
+          lambda downsample=downsample: media.show_image(
+              image, height=64, downsample=downsample
+          )
+      )
       size_min_max = (10_000, 20_000) if downsample else (200_000, 300_000)
-      self.assertBetween(len(htmls[0].data), *size_min_max)
+      self.assertBetween(len(s), *size_min_max)
 
   def test_show_image_default_no_pixelated(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_image(media.color_ramp((10, 10)))
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)image-rendering:auto', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertEmpty(re.findall('(?s)image-rendering:pixelated', htmls[0].data))  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_image(media.color_ramp((10, 10)))
+    )
+    self.assertLen(re.findall('(?s)<img', s), 1)
+    self.assertLen(re.findall('(?s)image-rendering:auto', s), 1)
+    self.assertEmpty(re.findall('(?s)image-rendering:pixelated', s))
 
   def test_show_image_magnified_pixelated(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_image(media.color_ramp((10, 10)), width=20)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(
-        re.findall('(?s)image-rendering:pixelated', htmls[0].data), 1  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_image(media.color_ramp((10, 10)), width=20)
     )
-    self.assertEmpty(re.findall('(?s)image-rendering:auto', htmls[0].data))  # pyrefly: ignore[no-matching-overload]
+    self.assertLen(re.findall('(?s)<img', s), 1)
+    self.assertLen(re.findall('(?s)image-rendering:pixelated', s), 1)
+    self.assertEmpty(re.findall('(?s)image-rendering:auto', s))
 
   def test_show_images_list(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_images([media.color_ramp()] * 2)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 2)  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_images([media.color_ramp()] * 2)
+    )
+    self.assertLen(re.findall('(?s)<table', s), 1)
+    self.assertLen(re.findall('(?s)<img', s), 2)
 
   def test_show_images_dict(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_images(
-          {'title1': media.color_ramp(), 'title2': media.color_ramp()}
-      )
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertRegex(htmls[0].data, '(?s)title1.*<img .*title2.*<img ')  # pyrefly: ignore[bad-specialization]
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 2)  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_images(
+            {'title1': media.color_ramp(), 'title2': media.color_ramp()}
+        )
+    )
+    self.assertLen(re.findall('(?s)<table', s), 1)
+    self.assertRegex(s, '(?s)title1.*<img .*title2.*<img ')
+    self.assertLen(re.findall('(?s)<img', s), 2)
 
   def test_show_images_over_multiple_rows(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_images([media.color_ramp()] * 5, columns=2)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 3)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)<img', htmls[0].data), 5)  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_images([media.color_ramp()] * 5, columns=2)
+    )
+    self.assertLen(re.findall('(?s)<table', s), 3)
+    self.assertLen(re.findall('(?s)<img', s), 5)
 
   def test_compare_images(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.compare_images([media.color_ramp()] * 2)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<img-comparison-slider>', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)base64', htmls[0].data), 2)  # pyrefly: ignore[no-matching-overload]
-    self.assertEmpty(re.findall('(?s)b64', htmls[0].data))  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.compare_images([media.color_ramp()] * 2)
+    )
+    self.assertLen(re.findall('(?s)<img-comparison-slider>', s), 1)
+    self.assertLen(re.findall('(?s)base64', s), 2)
+    self.assertEmpty(re.findall('(?s)b64', s))
 
   @parameterized.parameters([False, True], [False, True])
   def test_video_non_streaming_write_read_roundtrip(
@@ -573,7 +566,8 @@ def test_video_non_streaming_write_read_roundtrip(
       self.assertEqual(new_video.metadata.num_images, num_images)
       self.assertEqual(new_video.metadata.shape, shape)
       self.assertEqual(new_video.metadata.fps, fps)
-      self.assertGreater(new_video.metadata.bps, 1_000)  # pyrefly: ignore[no-matching-overload]
+      self.assertIsInstance(new_video.metadata.bps, (int, float))
+      self.assertGreater(new_video.metadata.bps, 1_000)
       self._check_similar(original_video, new_video, max_rms)
 
   def test_video_streaming_write_read_roundtrip(self):
@@ -629,7 +623,8 @@ def test_video_streaming_read_write(self):
       self.assertEqual(new_video.metadata.num_images, num_images)
       self.assertEqual(new_video.metadata.shape, shape)
       self.assertEqual(new_video.metadata.fps, fps)
-      self.assertGreater(new_video.metadata.bps, 1_000)  # pyrefly: ignore[no-matching-overload]
+      self.assertIsInstance(new_video.metadata.bps, (int, float))
+      self.assertGreater(new_video.metadata.bps, 1_000)
       self._check_similar(video, new_video, 3.0)
 
   def test_video_read_write_10bit(self):
@@ -698,21 +693,17 @@ def test_html_from_compressed_video(self):
     )
 
   def test_show_video(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_video(media.moving_circle())
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<video', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertRegex(htmls[0].data, '(?s)<video .*>.*</video>')  # pyrefly: ignore[bad-specialization]
+    s = self.capture_html_string(
+        lambda: media.show_video(media.moving_circle())
+    )
+    self.assertLen(re.findall('(?s)<video', s), 1)
+    self.assertRegex(s, '(?s)<video .*>.*</video>')
 
   def test_show_video_gif(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_video(media.moving_circle(), codec='gif')
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertContainsInOrder(['<img', 'src="data:image/gif'], htmls[0].data)
+    s = self.capture_html_string(
+        lambda: media.show_video(media.moving_circle(), codec='gif')
+    )
+    self.assertContainsInOrder(['<img', 'src="data:image/gif'], s)
 
   def test_set_show_save_dir_video(self):
     video = media.moving_circle((32, 32), num_images=10)
@@ -729,49 +720,43 @@ def test_set_show_save_dir_video(self):
   def test_show_video_downsampled(self):
     video = np.random.default_rng(0).random((5, 64, 128, 3))
     for downsample in (False, True):
-      htmls = []
-      with mock.patch('IPython.display.display', htmls.append):
-        media.show_video(video, height=32, downsample=downsample)
+      s = self.capture_html_string(
+          lambda downsample=downsample: media.show_video(
+              video, height=32, downsample=downsample
+          )
+      )
       size_min_max = (8_000, 15_000) if downsample else (40_000, 60_000)
-      self.assertBetween(len(htmls[0].data), *size_min_max)
+      self.assertBetween(len(s), *size_min_max)
 
   def test_show_videos_list(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_videos([media.moving_circle()] * 2)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)<video', htmls[0].data), 2)  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_videos([media.moving_circle()] * 2)
+    )
+    self.assertLen(re.findall('(?s)<table', s), 1)
+    self.assertLen(re.findall('(?s)<video', s), 2)
 
   def test_show_videos_dict(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      videos = {
-          'title1': media.moving_circle(),
-          'title2': media.moving_circle(),
-      }
-      media.show_videos(videos)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 1)  # pyrefly: ignore[no-matching-overload]
-    self.assertRegex(htmls[0].data, '(?s)title1.*<video.*title2.*<video')  # pyrefly: ignore[bad-specialization]
-    self.assertLen(re.findall('(?s)<video', htmls[0].data), 2)  # pyrefly: ignore[no-matching-overload]
+    videos = {
+        'title1': media.moving_circle(),
+        'title2': media.moving_circle(),
+    }
+    s = self.capture_html_string(lambda: media.show_videos(videos))
+    self.assertLen(re.findall('(?s)<table', s), 1)
+    self.assertRegex(s, '(?s)title1.*<video.*title2.*<video')
+    self.assertLen(re.findall('(?s)<video', s), 2)
 
   def test_show_videos_over_multiple_rows(self):
-    htmls = []
-    with mock.patch('IPython.display.display', htmls.append):
-      media.show_videos([media.moving_circle()] * 12, columns=3)
-    self.assertLen(htmls, 1)
-    self.assertIsInstance(htmls[0], IPython.display.HTML)
-    self.assertLen(re.findall('(?s)<table', htmls[0].data), 4)  # pyrefly: ignore[no-matching-overload]
-    self.assertLen(re.findall('(?s)<video', htmls[0].data), 12)  # pyrefly: ignore[no-matching-overload]
+    s = self.capture_html_string(
+        lambda: media.show_videos([media.moving_circle()] * 12, columns=3)
+    )
+    self.assertLen(re.findall('(?s)<table', s), 4)
+    self.assertLen(re.findall('(?s)<video', s), 12)
 
   def test_show_image_out_str(self):
     htmls = []
     with mock.patch('IPython.display.display', htmls.append):
       out = media.show_image(media.color_ramp(), return_html=True)
-    self.assertEmpty(htmls)  # Nothing displayed
+    self.assertEmpty(htmls)  # Nothing displayed.
     self.assertIsInstance(out, str)
     self.assertIn('<img', out)
 
@@ -779,7 +764,7 @@ def test_show_images_out_str(self):
     htmls = []
     with mock.patch('IPython.display.display', htmls.append):
       out = media.show_images([media.color_ramp()] * 3, return_html=True)
-    self.assertEmpty(htmls)  # Nothing displayed
+    self.assertEmpty(htmls)  # Nothing displayed.
     self.assertIsInstance(out, str)
     self.assertIn('<img', out)
 
@@ -787,7 +772,7 @@ def test_show_video_out_str(self):
     htmls = []
     with mock.patch('IPython.display.display', htmls.append):
       out = media.show_video(media.moving_circle(), return_html=True)
-    self.assertEmpty(htmls)  # Nothing displayed
+    self.assertEmpty(htmls)  # Nothing displayed.
     self.assertIsInstance(out, str)
     self.assertIn('<video', out)
 
@@ -795,7 +780,7 @@ def test_show_videos_out_str(self):
     htmls = []
     with mock.patch('IPython.display.display', htmls.append):
       out = media.show_videos([media.moving_circle()] * 2, return_html=True)
-    self.assertEmpty(htmls)  # Nothing displayed
+    self.assertEmpty(htmls)  # Nothing displayed.
     self.assertIsInstance(out, str)
     self.assertIn('<video', out)
 

From 0bd0ef94e4ab287c7128726b630e83b0b05a1355 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Fri, 24 Jul 2026 19:07:21 -0700
Subject: [PATCH 07/16] Set up pyrefly and ruff in pyproject.toml and clean up
 the code to avoid warnings

---
 mediapy/__init__.py | 129 ++++++++++++++++++++++----------------------
 pyproject.toml      |  20 +++++++
 2 files changed, 84 insertions(+), 65 deletions(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index e193444..13e995b 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -108,7 +108,6 @@
 __version_info__ = tuple(int(num) for num in __version__.split('.'))
 
 import base64
-from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence
 import contextlib
 import functools
 import importlib
@@ -125,9 +124,10 @@
 import sys
 import tempfile
 import typing
-from typing import Any
 import urllib.request
 import warnings
+from collections.abc import Callable, Generator, Iterable, Iterator, Mapping, Sequence
+from typing import Any
 
 import IPython.display
 import matplotlib.pyplot
@@ -136,12 +136,11 @@
 import PIL.Image
 import PIL.ImageOps
 
-
 if not hasattr(PIL.Image, 'Resampling'):  # Allow Pillow<9.0.
   PIL.Image.Resampling = PIL.Image  # type: ignore
 
 # Selected and reordered here for pdoc documentation.
-__all__ = [
+__all__ = [  # noqa: RUF022
     'show_image',
     'show_images',
     'compare_images',
@@ -220,7 +219,7 @@ class _Config:
 
 def _open(path: _Path, *args: Any, **kwargs: Any) -> Any:
   """Opens the file; this is a hook for the built-in `open()`."""
-  return open(path, *args, **kwargs)
+  return open(path, *args, **kwargs)  # noqa: PTH123
 
 
 def _path_is_local(path: _Path) -> bool:
@@ -232,7 +231,7 @@ def _path_is_local(path: _Path) -> bool:
 def _search_for_ffmpeg_path() -> str | None:
   """Returns a path to the ffmpeg program, or None if not found."""
   if filename := shutil.which(_config.ffmpeg_name_or_path):
-    return str(filename)
+    return str(pathlib.Path(filename))
   return None
 
 
@@ -297,7 +296,7 @@ def _run(args: str | Sequence[str]) -> None:
       stdout=subprocess.PIPE,
       stderr=subprocess.STDOUT,
       check=False,
-      universal_newlines=True,
+      text=True,
   )
   print(proc.stdout, end='', flush=True)
   if proc.returncode:
@@ -327,18 +326,16 @@ def set_ffmpeg(name_or_path: _Path) -> None:
 
 def set_output_height(num_pixels: int) -> None:
   """Overrides the height of the current output cell, if using Colab."""
-  try:
+  with contextlib.suppress(ModuleNotFoundError, AttributeError):
     # We want to fail gracefully for non-Colab IPython notebooks.
     output = importlib.import_module('google.colab.output')
     s = f'google.colab.output.setIframeHeight("{num_pixels}px")'
     output.eval_js(s)
-  except (ModuleNotFoundError, AttributeError):
-    pass
 
 
 def set_max_output_height(num_pixels: int) -> None:
   """Sets the maximum height of the current output cell, if using Colab."""
-  try:
+  with contextlib.suppress(ModuleNotFoundError, AttributeError):
     # We want to fail gracefully for non-Colab IPython notebooks.
     output = importlib.import_module('google.colab.output')
     s = (
@@ -346,8 +343,6 @@ def set_max_output_height(num_pixels: int) -> None:
         f'0, true, {{maxHeight: {num_pixels}}})'
     )
     output.eval_js(s)
-  except (ModuleNotFoundError, AttributeError):
-    pass
 
 
 # ** Type conversions.
@@ -393,42 +388,43 @@ def to_type(array: _ArrayLike, dtype: _DTypeLike) -> _NDArray:
     Array `a` if it is already of the specified dtype, else a converted array.
   """
   a = np.asarray(array)
-  dtype = np.dtype(dtype)
-  del array
+  dtype2: np.dtype[Any] = np.dtype(dtype)
+  del array, dtype
   if a.dtype != bool:
     _as_valid_media_type(a.dtype)  # Verify that 'a' has a valid dtype.
   if a.dtype == bool:
-    result = a.astype(dtype)
-    if np.issubdtype(dtype, np.unsignedinteger):
-      result = result * dtype.type(np.iinfo(dtype).max)  # pyrefly: ignore[no-matching-overload]
-  elif a.dtype == dtype:
+    result = a.astype(dtype2)
+    if np.issubdtype(dtype2, np.unsignedinteger):
+      # Force in-place multiplication to preserve the exact dtype.
+      np.multiply(result, np.iinfo(dtype2).max, out=result)
+  elif a.dtype == dtype2:
     result = a
-  elif np.issubdtype(dtype, np.unsignedinteger):
+  elif np.issubdtype(dtype2, np.unsignedinteger):
     if np.issubdtype(a.dtype, np.unsignedinteger):
       src_max: float = np.iinfo(a.dtype).max
     else:
       a = np.clip(a, 0.0, 1.0)
       src_max = 1.0
-    dst_max = np.iinfo(dtype).max  # pyrefly: ignore[no-matching-overload]
+    dst_max = np.iinfo(dtype2).max
     if dst_max <= np.iinfo(np.uint16).max:
       scale = np.array(dst_max / src_max, dtype=np.float32)
-      result = (a * scale + 0.5).astype(dtype)
+      result = (a * scale + 0.5).astype(dtype2)
     elif dst_max <= np.iinfo(np.uint32).max:
-      result = (a.astype(np.float64) * (dst_max / src_max) + 0.5).astype(dtype)
+      result = (a.astype(np.float64) * (dst_max / src_max) + 0.5).astype(dtype2)
     else:
       # https://stackoverflow.com/a/66306123/
       a = a.astype(np.float64) * (dst_max / src_max) + 0.5
       dst = np.atleast_1d(a)
       values_too_large = dst >= np.float64(dst_max)
       with np.errstate(invalid='ignore'):
-        dst = dst.astype(dtype)
+        dst = dst.astype(dtype2)
       dst[values_too_large] = dst_max
       result = dst if a.ndim > 0 else dst[0]
   else:
-    assert np.issubdtype(dtype, np.floating)
-    result = a.astype(dtype)
+    assert np.issubdtype(dtype2, np.floating)
+    result = a.astype(dtype2)
     if np.issubdtype(a.dtype, np.unsignedinteger):
-      result = result / dtype.type(np.iinfo(a.dtype).max)
+      result = result / dtype2.type(np.iinfo(a.dtype).max)
   return result
 
 
@@ -635,10 +631,9 @@ def resize_image(image: _ArrayLike, shape: tuple[int, int]) -> _NDArray:
       image.dtype == np.uint8 and image.ndim == 3 and image.shape[2] in (3, 4)
   )
   if supported_single_channel or supported_multichannel:
+    h, w = shape
     return np.array(
-        _pil_image(image).resize(
-            shape[::-1], resample=PIL.Image.Resampling.LANCZOS
-        ),
+        _pil_image(image).resize((w, h), resample=PIL.Image.Resampling.LANCZOS),
         dtype=image.dtype,
     )
   if image.ndim == 2:
@@ -692,7 +687,7 @@ def read_contents(path_or_url: _Path) -> bytes:
 
 
 @contextlib.contextmanager
-def _read_via_local_file(path_or_url: _Path) -> Iterator[str]:
+def _read_via_local_file(path_or_url: _Path) -> Generator[str, None, None]:
   """Context to copy a remote file locally to read from it.
 
   Args:
@@ -712,7 +707,7 @@ def _read_via_local_file(path_or_url: _Path) -> Iterator[str]:
 
 
 @contextlib.contextmanager
-def _write_via_local_file(path: _Path) -> Iterator[str]:
+def _write_via_local_file(path: _Path) -> Generator[str, None, None]:
   """Context to write a temporary local file and subsequently copy it remotely.
 
   Args:
@@ -765,7 +760,7 @@ def __exit__(self, *_: Any) -> None:
 # ** Image I/O.
 
 
-def read_image(  # pyrefly: ignore[bad-function-definition]
+def read_image(
     path_or_url: _Path,
     *,
     apply_exif_transpose: bool = True,
@@ -873,7 +868,7 @@ def compress_image(
     return output.getvalue()
 
 
-def decompress_image(  # pyrefly: ignore[bad-function-definition]
+def decompress_image(
     data: bytes,
     dtype: _DTypeLike | None = None,
     apply_exif_transpose: bool = True,
@@ -891,9 +886,7 @@ def decompress_image(  # pyrefly: ignore[bad-function-definition]
   """
   pil_image: PIL.Image.Image = PIL.Image.open(io.BytesIO(data))
   if apply_exif_transpose:
-    tmp_image = PIL.ImageOps.exif_transpose(pil_image)  # Future: in_place=True.
-    assert tmp_image
-    pil_image = tmp_image
+    pil_image = PIL.ImageOps.exif_transpose(pil_image)  # Future: in_place=True.
   if dtype is None:
     dtype = np.uint16 if pil_image.mode.startswith('I') else np.uint8
   return np.array(pil_image, dtype=dtype)
@@ -952,7 +945,7 @@ def _get_width_height(
     return width, int(width * (shape[0] / shape[1]) + 0.5)
   if height and not width:
     return int(height * (shape[1] / shape[0]) + 0.5), height
-  return shape[::-1]  # pyrefly: ignore[bad-return]
+  return shape[1], shape[0]
 
 
 def _ensure_mapped_to_rgb(
@@ -1054,23 +1047,26 @@ def show_images(
   Returns:
     html string if `return_html` is `True`.
   """
+  list_titles: list[str | None]
   if isinstance(images, Mapping):
     if titles is not None:
       raise ValueError('Cannot have images dictionary and titles parameter.')
-    list_titles, list_images = list(images.keys()), list(images.values())
+    list_images0 = list(images.values())
+    list_titles = typing.cast(list[str | None], list(images.keys()))
   else:
-    list_images = list(images)
-    list_titles = [None] * len(list_images) if titles is None else list(titles)
-    if len(list_images) != len(list_titles):
+    list_images0 = list(images)
+    list_titles = [None] * len(list_images0) if titles is None else list(titles)
+    if len(list_images0) != len(list_titles):
       raise ValueError(
           'Number of images does not match number of titles'
-          f' ({len(list_images)} vs {len(list_titles)}).'
+          f' ({len(list_images0)} vs {len(list_titles)}).'
       )
 
   list_images = [
       _ensure_mapped_to_rgb(image, vmin=vmin, vmax=vmax, cmap=cmap)
-      for image in list_images
+      for image in list_images0
   ]
+  del list_images0
 
   def maybe_downsample(image: _NDArray) -> _NDArray:
     shape = image.shape[0], image.shape[1]
@@ -1092,12 +1088,13 @@ def maybe_downsample(image: _NDArray) -> _NDArray:
   def html_from_compressed_images() -> str:
     html_strings = []
     for image, title, png_data in zip(list_images, list_titles, png_datas):
-      w, h = _get_width_height(width, height, image.shape[:2])  # pyrefly: ignore[missing-attribute]
-      magnified = h > image.shape[0] or w > image.shape[1]  # pyrefly: ignore[missing-attribute]
+      shape = image.shape[0], image.shape[1]
+      w, h = _get_width_height(width, height, shape)
+      magnified = h > image.shape[0] or w > image.shape[1]
       pixelated2 = pixelated if pixelated is not None else magnified
       html_strings.append(
           html_from_compressed_image(
-              png_data, w, h, title=title, border=border, pixelated=pixelated2  # pyrefly: ignore[bad-argument-type]
+              png_data, w, h, title=title, border=border, pixelated=pixelated2
           )
       )
     # Create single-row tables each with no more than 'columns' elements.
@@ -1340,10 +1337,7 @@ def _get_video_metadata(path: _Path) -> VideoMetadata:
       # will try to parse the framerate as x1000.
       if match := re.search(r', ([\d.]+)(k?) fps', line):
         number = float(match.group(1))
-        if match.group(2) == 'k':
-          fps = number * 1000
-        else:
-          fps = number
+        fps = number * 1000 if match.group(2) == 'k' else number
       elif str(path).endswith('.gif'):
         # Some GIF files lack a framerate attribute; use a reasonable default.
         fps = 10
@@ -1372,7 +1366,7 @@ class _VideoIO:
   def _get_pix_fmt(self, dtype: _DType, image_format: str) -> str:
     """Returns ffmpeg pix_fmt given data type and image format."""
     native_endian_suffix = {'little': 'le', 'big': 'be'}[sys.byteorder]
-    return {
+    pix_fmt_map: dict[type[np.generic], dict[str, str]] = {
         np.uint8: {
             'rgb': 'rgb24',
             'yuv': 'yuv444p',
@@ -1383,7 +1377,9 @@ def _get_pix_fmt(self, dtype: _DType, image_format: str) -> str:
             'yuv': 'yuv444p16' + native_endian_suffix,
             'gray': 'gray16' + native_endian_suffix,
         },
-    }[dtype.type][image_format]  # pyrefly: ignore[bad-index]
+    }
+    scalar_type = typing.cast(type[np.generic], dtype.type)
+    return pix_fmt_map[scalar_type][image_format]
 
 
 class VideoReader(_VideoIO):
@@ -1459,7 +1455,7 @@ def __init__(
     self._popen: subprocess.Popen[bytes] | None = None
     self._proc: subprocess.Popen[bytes] | None = None
 
-  def __enter__(self) -> 'VideoReader':
+  def __enter__(self) -> VideoReader:
     try:
       self._read_via_local_file = _read_via_local_file(self.path_or_url)
       # pylint: disable-next=no-member
@@ -1640,7 +1636,7 @@ def __init__(
       raise ValueError(f'Frame-per-second value {fps} is invalid.')
     if bps is None and metadata:
       bps = metadata.bps
-    bps = int(bps) if bps is not None else None
+    bps = bps if bps is not None else None
     if bps is not None and bps <= 0:
       raise ValueError(f'Bitrate value {bps} is invalid.')
     if qp is not None and (not isinstance(qp, int) or qp < 0):
@@ -1706,7 +1702,7 @@ def __init__(
     self._popen: subprocess.Popen[bytes] | None = None
     self._proc: subprocess.Popen[bytes] | None = None
 
-  def __enter__(self) -> 'VideoWriter':
+  def __enter__(self) -> VideoWriter:
     input_pix_fmt = self._get_pix_fmt(self.dtype, self.input_format)
     try:
       self._write_via_local_file = _write_via_local_file(self.path)
@@ -1823,16 +1819,16 @@ def close(self) -> None:
       self._write_via_local_file = None
 
 
-class _VideoArray(np.ndarray):
+class _VideoArray(npt.NDArray[Any]):
   """Wrapper to add a VideoMetadata `metadata` attribute to a numpy array."""
 
   metadata: VideoMetadata | None
 
   def __new__(
-      cls: typing.Type['_VideoArray'],
+      cls: type[_VideoArray],
       input_array: _NDArray,
       metadata: VideoMetadata | None = None,
-  ) -> '_VideoArray':
+  ) -> _VideoArray:
     obj: _VideoArray = np.asarray(input_array).view(cls)
     obj.metadata = metadata
     return obj
@@ -2056,13 +2052,14 @@ def show_videos(
   Returns:
     html string if `return_html` is `True`.
   """
+  list_titles: list[str | None]
   if isinstance(videos, Mapping):
     if titles is not None:
       raise ValueError(
           'Cannot have both a video dictionary and a titles parameter.'
       )
-    list_titles = list(videos.keys())
     list_videos = list(videos.values())
+    list_titles = typing.cast(list[str | None], list(videos.keys()))
   else:
     list_videos = list(typing.cast('Iterable[_NDArray]', videos))
     list_titles = [None] * len(list_videos) if titles is None else list(titles)
@@ -2078,11 +2075,13 @@ def show_videos(
   for video, title in zip(list_videos, list_titles):
     metadata: VideoMetadata | None = getattr(video, 'metadata', None)
     first_image, video = _peek_first(video)
-    w, h = _get_width_height(width, height, first_image.shape[:2])
-    if downsample and (w < first_image.shape[1] or h < first_image.shape[0]):
+    first_h, first_w = first_image.shape[:2]
+    w, h = _get_width_height(width, height, (first_h, first_w))
+    if downsample and (w < first_w or h < first_h):
       # Not resize_video() because each image may have different depth and type.
       video = [resize_image(image, (h, w)) for image in video]
       first_image = video[0]
+      first_h, first_w = first_image.shape[:2]
     data = compress_video(
         video, metadata=metadata, fps=fps, bps=bps, qp=qp, codec=codec
     )
@@ -2092,13 +2091,13 @@ def show_videos(
       with _open(path, mode='wb') as f:
         f.write(data)
     if codec == 'gif':
-      pixelated = h > first_image.shape[0] or w > first_image.shape[1]
+      pixelated = h > first_h or w > first_w
       html_string = html_from_compressed_image(
-          data, w, h, title=title, fmt='gif', pixelated=pixelated, **kwargs  # pyrefly: ignore[bad-argument-type]
+          data, w, h, title=title, fmt='gif', pixelated=pixelated, **kwargs
       )
     else:
       html_string = html_from_compressed_video(
-          data, w, h, title=title, **kwargs  # pyrefly: ignore[bad-argument-type]
+          data, w, h, title=title, **kwargs
       )
     html_strings.append(html_string)
 
diff --git a/pyproject.toml b/pyproject.toml
index db1ea9a..21973e4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -99,8 +99,28 @@ good-names-rgxs = "^[a-z][a-z0-9]?|[A-Z]([A-Z_]*[A-Z])?$"
 indent-string = "  "
 expected-line-ending-format = "LF"
 
+[tool.pyrefly]
+min-severity = "warn"
+project-excludes = ["*.ipynb"]
+
 [tool.pytype]
 keep_going = true
 strict_none_binding = true
 use_enum_overlay = true
 use_fiddle_overlay = true
+
+[tool.ruff]
+extend-exclude = ["*.ipynb"]
+
+[tool.ruff.lint]
+select = [
+    "E", "W", "F", "B", "C", "UP", "SIM", "RUF", "NPY", "PTH", "PERF",
+    "ISC", "ICN", "PIE", "RET", "TID", "TC", "I",
+]
+extend-ignore = [
+    "E402", "E501", "E721", "E741",
+    "B010", "B028", "C408", "C901",
+    "TC003", "TC006", "SIM300", "ICN001", "RET504", "SIM905", "RUF005",
+    "I001", "SIM117",
+]
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?)|unused_.*)$"

From 1bc3db13f329e58747635b2d8f375dbcfd8dc788 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Fri, 24 Jul 2026 19:29:52 -0700
Subject: [PATCH 08/16] Introduce _BaseArray to satisfy both mypy and Python
 3.14+.

---
 mediapy/__init__.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index 13e995b..6f98bdb 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -179,12 +179,14 @@
   _DTypeLike = npt.DTypeLike
   _NDArray = npt.NDArray[Any]
   _DType = np.dtype[Any]
+  _BaseArray = npt.NDArray[Any]  # Satisfies mypy.
 else:
   # Create named types for use in the `pdoc` documentation.
   _ArrayLike = typing.TypeVar('_ArrayLike')
   _DTypeLike = typing.TypeVar('_DTypeLike')
   _NDArray = typing.TypeVar('_NDArray')
   _DType = typing.TypeVar('_DType')  # pylint: disable=invalid-name
+  _BaseArray = np.ndarray  # Avoids runtime errors in Python 3.14+.
 
 _IPYTHON_HTML_SIZE_LIMIT = 10**10  # Unlimited seems to be OK now.
 _T = typing.TypeVar('_T')
@@ -1819,7 +1821,7 @@ def close(self) -> None:
       self._write_via_local_file = None
 
 
-class _VideoArray(npt.NDArray[Any]):
+class _VideoArray(_BaseArray):
   """Wrapper to add a VideoMetadata `metadata` attribute to a numpy array."""
 
   metadata: VideoMetadata | None

From 6bbc6efd270e7e1b69736b36c401db2815e3aaa1 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Tue, 28 Jul 2026 10:50:13 -0700
Subject: [PATCH 09/16] Add pyrefly comment

---
 mediapy_test.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/mediapy_test.py b/mediapy_test.py
index 10a394f..4065fe4 100755
--- a/mediapy_test.py
+++ b/mediapy_test.py
@@ -423,6 +423,7 @@ def gray(x):
       if hasattr(matplotlib, 'colormaps'):
         cmap = matplotlib.colormaps['gray']  # Newer version.
       else:
+        # pyrefly: ignore[missing-attribute]
         cmap = matplotlib.pyplot.cm.get_cmap('gray')  # pylint: disable=no-member
       return cmap(x)[..., :3]  # pyrefly: ignore[bad-index]
 

From f29cf25221e29c2bbac63b17c56ba42c471a762a Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Wed, 29 Jul 2026 15:58:57 -0700
Subject: [PATCH 10/16] Modernize Python types, and adjust lint settings

---
 mediapy/__init__.py | 14 +++++++-------
 pyproject.toml      |  4 +++-
 2 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index 6f98bdb..ee55fa2 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -127,7 +127,7 @@
 import urllib.request
 import warnings
 from collections.abc import Callable, Generator, Iterable, Iterator, Mapping, Sequence
-from typing import Any
+from typing import Any, TypeVar
 
 import IPython.display
 import matplotlib.pyplot
@@ -182,15 +182,15 @@
   _BaseArray = npt.NDArray[Any]  # Satisfies mypy.
 else:
   # Create named types for use in the `pdoc` documentation.
-  _ArrayLike = typing.TypeVar('_ArrayLike')
-  _DTypeLike = typing.TypeVar('_DTypeLike')
-  _NDArray = typing.TypeVar('_NDArray')
-  _DType = typing.TypeVar('_DType')  # pylint: disable=invalid-name
+  _ArrayLike = TypeVar('_ArrayLike')
+  _DTypeLike = TypeVar('_DTypeLike')
+  _NDArray = TypeVar('_NDArray')
+  _DType = TypeVar('_DType')  # pylint: disable=invalid-name
   _BaseArray = np.ndarray  # Avoids runtime errors in Python 3.14+.
 
 _IPYTHON_HTML_SIZE_LIMIT = 10**10  # Unlimited seems to be OK now.
-_T = typing.TypeVar('_T')
-_Path = typing.Union[str, 'os.PathLike[str]']
+_T = TypeVar('_T')
+_Path = str | os.PathLike[str]
 
 _IMAGE_COMPARISON_HTML = """\
 <script
diff --git a/pyproject.toml b/pyproject.toml
index 21973e4..1403a81 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,7 +51,7 @@ build-backend = "flit_core.buildapi"
 [tool.autopep8]
 indent_size = 2
 max_line_length = 80
-ignore = "E121,E125,E126,E129,E226,E302,E305,E501,W504,E741,W503"
+ignore = "E111,E114,E121,E125,E126,E129,E226,E302,E305,E501,W504,E741,W503"
 aggressive = 3
 recursive = true
 
@@ -59,6 +59,7 @@ recursive = true
 cache_dir = "~/.cache/mypy"
 strict = true
 ignore_missing_imports = true
+files = ["."]
 
 [[tool.mypy.overrides]]
 module = "mediapy_test"
@@ -108,6 +109,7 @@ keep_going = true
 strict_none_binding = true
 use_enum_overlay = true
 use_fiddle_overlay = true
+inputs = ["."]
 
 [tool.ruff]
 extend-exclude = ["*.ipynb"]

From b173062df2caaa8c2f36c498ef90c8254960f503 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Wed, 29 Jul 2026 16:12:56 -0700
Subject: [PATCH 11/16] Use modern rng for random numbers

---
 mediapy/__init__.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index ee55fa2..1fd16eb 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -47,17 +47,18 @@
 
 Show titled images side-by-side:
 ```python
+rng = np.random.default_rng(1)
 images = {
     'original': checkerboard,
     'darkened': checkerboard * 0.7,
-    'random': np.random.rand(32, 32, 3),
+    'random': rng.random((32, 32, 3)),
 }
 show_images(images, vmin=0.0, vmax=1.0, border=True, height=64)
 ```
 
 Compare two images using an interactive slider:
 ```python
-compare_images([checkerboard, np.random.rand(128, 128, 3)])
+compare_images([checkerboard, rng.random((128, 128, 3))])
 ```
 
 ## Video examples
@@ -86,7 +87,7 @@
 
 Create and display a looping two-frame GIF video:
 ```python
-image1 = resize_image(np.random.rand(10, 10, 3), (50, 50))
+image1 = resize_image(np.random.default_rng(1).random((10, 10, 3)), (50, 50))
 show_video([image1, image1 * 0.8], fps=2, codec='gif')
 ```
 
@@ -978,9 +979,10 @@ def show_image(
 
   See `show_images`.
 
-  >>> show_image(np.random.rand(100, 100))
-  >>> show_image(np.random.randint(0, 256, size=(80, 80, 3), dtype='uint8'))
-  >>> show_image(np.random.rand(10, 10) - 0.5, cmap='bwr', height=100)
+  >>> rng = np.random.default_rng(1)
+  >>> show_image(rng.random((100, 100)))
+  >>> show_image(rng.integers(0, 256, size=(80, 80, 3), dtype='uint8'))
+  >>> show_image(rng.random((10, 10)) - 0.5, cmap='bwr', height=100)
   >>> show_image(read_image('/tmp/image.png'))
   >>> url = 'https://github.com/hhoppe/data/raw/main/image.png'
   >>> show_image(read_image(url))
@@ -1018,7 +1020,8 @@ def show_images(
   If a directory has been specified using `set_show_save_dir`, also saves each
   titled image to a file in that directory based on its title.
 
-  >>> image1, image2 = np.random.rand(64, 64, 3), color_ramp((64, 64))
+  >>> image1 = np.default_rng(1).random((64, 64, 3))
+  >>> image2 = color_ramp((64, 64))
   >>> show_images([image1, image2])
   >>> show_images({'random image': image1, 'color ramp': image2}, height=128)
   >>> show_images([image1, image2] * 5, columns=4, border=True)
@@ -1138,7 +1141,8 @@ def compare_images(
   The slider functionality requires that the web browser have Internet access.
   See additional info in `https://github.com/sneas/img-comparison-slider`.
 
-  >>> image1, image2 = np.random.rand(64, 64, 3), color_ramp((64, 64))
+  >>> image1 = np.random.default_rng(1).random((64, 64, 3))
+  >>> image2 = color_ramp((64, 64))
   >>> compare_images([image1, image2])
 
   Args:

From 65312fe529271c9d59b031fb4a0a38f02ce2f60e Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Wed, 29 Jul 2026 16:15:10 -0700
Subject: [PATCH 12/16] Undo recent modifications to github actions

---
 .github/workflows/docs.yml                   | 6 +++---
 .github/workflows/pytest_and_autopublish.yml | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 6260669..a4d88ed 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -17,8 +17,8 @@ jobs:
   build:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v7
-      - uses: actions/setup-python@v7
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
         with:
           python-version: '3.x'
 
@@ -46,4 +46,4 @@ jobs:
       url: ${{ steps.deployment.outputs.page_url }}
     steps:
       - id: deployment
-        uses: actions/deploy-pages@v5
+        uses: actions/deploy-pages@v4
diff --git a/.github/workflows/pytest_and_autopublish.yml b/.github/workflows/pytest_and_autopublish.yml
index 39309c0..5e51d64 100644
--- a/.github/workflows/pytest_and_autopublish.yml
+++ b/.github/workflows/pytest_and_autopublish.yml
@@ -22,14 +22,14 @@ jobs:
             numpy-version: 'numpy>=2.5.0'
 
     steps:
-    - uses: actions/checkout@v7
+    - uses: actions/checkout@v4
 
     - run: sudo apt-get update
     - run: sudo apt-get install -y ffmpeg
 
     # Install deps
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v7
+      uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
     - run: pip --version

From 53bdb15dc8ac697c26c5f64c6de568e65e52179a Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Sat, 1 Aug 2026 10:17:32 -0700
Subject: [PATCH 13/16] Remove linter pytype which is no longer maintained

---
 pyproject.toml | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 1403a81..791df4c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,6 @@ dev = [
     "pylint>=2.6.0",
     "pytest",
     "pytest-xdist",
-    "pytype",
 ]
 
 [build-system]
@@ -91,7 +90,7 @@ disable = [
 reports = false
 score = false
 recursive = true
-ignore-paths = [".*ipynb_checkpoints", "^.pytype", ".*/.pytype"]
+ignore-paths = [".*ipynb_checkpoints"]
 
 [tool.pylint.basic]
 good-names-rgxs = "^[a-z][a-z0-9]?|[A-Z]([A-Z_]*[A-Z])?$"
@@ -104,13 +103,6 @@ expected-line-ending-format = "LF"
 min-severity = "warn"
 project-excludes = ["*.ipynb"]
 
-[tool.pytype]
-keep_going = true
-strict_none_binding = true
-use_enum_overlay = true
-use_fiddle_overlay = true
-inputs = ["."]
-
 [tool.ruff]
 extend-exclude = ["*.ipynb"]
 

From 9def04e554edcbe70c74155fc95194eb6331269d Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 6 Aug 2026 18:28:39 -0700
Subject: [PATCH 14/16] Revert ~/.cache/mypy setting

---
 pyproject.toml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 791df4c..a0e81ce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,7 +55,6 @@ aggressive = 3
 recursive = true
 
 [tool.mypy]
-cache_dir = "~/.cache/mypy"
 strict = true
 ignore_missing_imports = true
 files = ["."]

From 94e7337724cf3a49ed873373ab397928b87b732c Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 6 Aug 2026 18:31:30 -0700
Subject: [PATCH 15/16] Relax 10-bit video roundtrip test to ignore a weakness
 in ffmpeg 8.0

---
 mediapy_test.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/mediapy_test.py b/mediapy_test.py
index 4065fe4..4783766 100755
--- a/mediapy_test.py
+++ b/mediapy_test.py
@@ -644,13 +644,18 @@ def test_video_read_write_10bit(self):
       )
       new_video = media.read_video(path, dtype=np.uint16, output_format='gray')
     self.assertEqual(new_video.dtype, np.uint16)
+    # FFmpeg <= 7.1 converts 16-bit <> 10-bit by a plain shift of 6 in both
+    # directions, so the round trip is exact.  FFmpeg 8.0 still encodes with
+    # the shift but decodes by 65535/1020, taking the legacy peak 255 << 2 as
+    # white, so the round trip gains 65535/65280 = 257/256 and input values
+    # above 65280 saturate.
+    video_float = video.astype(np.float64)
+    gain = np.vdot(video_float, new_video) / np.vdot(video_float, video_float)
+    self.assertAlmostEqual(gain, 1.0, delta=0.01)
     value_1_of_10bit_encoded_in_16bits = 64
-    # This factor may need to be raised in some recent versions of ffmpeg due
-    # to scaling issues on 10-bit <> 16-bit conversions.
     factor = 0.8
-    self._check_similar(
-        video, new_video, max_rms=value_1_of_10bit_encoded_in_16bits * factor
-    )
+    max_rms = value_1_of_10bit_encoded_in_16bits * factor
+    self._check_similar(video, new_video / gain, max_rms=max_rms)
 
   def test_video_read_write_vp9(self):
     video = media.moving_circle((256, 256), num_images=4, dtype=np.uint8)

From 6da75b31b388dbd90b4be0942ed7ea203723bdd5 Mon Sep 17 00:00:00 2001
From: Hugues Hoppe <hhoppe@gmail.com>
Date: Thu, 13 Aug 2026 06:16:39 -0700
Subject: [PATCH 16/16] Lint fix

---
 mediapy/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mediapy/__init__.py b/mediapy/__init__.py
index 1fd16eb..f44995f 100644
--- a/mediapy/__init__.py
+++ b/mediapy/__init__.py
@@ -1538,7 +1538,7 @@ def read(self) -> _NDArray | None:
           f' frame read: expected {self._num_bytes_per_image} bytes, but got'
           f' {len(data)}.\nffmpeg stderr:\n{stderr_output}'
       )
-    image = np.frombuffer(data, dtype=self.dtype)
+    image: _NDArray = np.frombuffer(data, dtype=self.dtype)
     if self.output_format == 'rgb':
       image = image.reshape(*self.shape, 3)
     elif self.output_format == 'yuv':  # Convert from planar YUV to pixel YUV.